Zaizi is looking for a Senior QA Test Engineer who has a passion for technology, with an analytical approach to problem solving and a keen eye for detail. This role will be client facing and you will be learning on the client project, so great communication skills are essential. As a Senior QA Test Engineer we will teach you the skills you need to develop your career.

Our work culture is inclusive, modern, friendly, and democratic. We look for bright, positive-thinking individuals with a can-do attitude. Our people enjoy challenging themselves to be the best at what they do - if that sounds like you, you’ll fit right in!

This role is remote for the foreseeable future with onsite client working where required and occasional travel to head office in London for workshops/meetings.

Responsibilities

• Design and build Automation from scratch, Web Services/API , Performance & Accessibility test frameworks with DevOps CI/CD
• Propose solutions to clients, when needed
• Manage, plan and perform exploratory and automation activities throughout the project
• Ensure that quality issues and defects are appropriately identified, documented, tracked, and resolved in a defect tracking system.
• Own and manage the release process to deliver the product effectively.
• Work closely with developers, Junior test engineers and cross functional scrum team members to increase the test coverage and reduce the test bottlenecks.
• Update and maintain regression suites as the products evolve
• Work collaboratively and effectively in a DevOps way of working environment.

Skills & Qualities

• Strong knowledge of Cypress
• API testing with Rest Assured or Postman
• Performance testing with Jmeter or equivalent
• Great communication skills - you will be speaking with and presenting to your team members and the clients
• Experience working in an Agile environment
• Passionate about IT and new technologies
• Working knowledge of AWS nice to have

You don’t meet all the requirements?

Studies show that women and black, Asian and minority ethnic people are less likely to apply for a job unless they meet every qualification. So if you’re excited about this role but your experience doesn’t align perfectly with the job description, we’d love you to still apply. You might just be the perfect person for this role, or another role here at Zaizi.

SC Clearance

Zaizi works with UK Central Government departments on a range of projects. To be able to work on our customer projects, employees must be Security Cleared to a standard acceptable to our Government customers. Due to this restriction we can currently only recruit candidates who have the right to work in the UK without sponsorship and who have lived in the UK for the last 5+ years continuously.

Salary

£56,000 - £70,000

Benefits

• 25 days paid holiday, plus bank holidays
• BUPA medical insurance
• Workplace Pension 5% employer contribution
• Group Life Assurance
• Cyclescheme
• 5 days a year for approved Training
• WFH equipment allowance
• Buy / Sell Holiday
• 2 days paid volunteering days
• Other benefits: Flexible working
• Work on exciting projects - make a difference
• Empowered to make decisions
• Encouraged to fail fast and learn quickly

Overview

We are seeking a high-calibre Systems Engineer to lead the technical delivery of complex programmes within the UK Defence and National Security sector. This role is pivotal in shaping the next generation of mission-critical capabilities, integrating cutting-edge Cloud-native architectures, Data-driven decision-making tools, and Artificial Intelligence (AI) into robust, safety-critical environments.

The successful candidate will act as a technical bridge between strategic vision and engineering execution, ensuring that rapidly evolving digital technologies are deployed with the rigour and security required for national protection. You will be responsible for the end-to-end systems lifecycle, from influencing customer requirements at the C-suite level to providing technical overwatch during complex system integration.

Role Objectives

These are the expected objectives for this role. We are happy to discuss this further during the interview process with the successful candidate.

• V-Lifecycle Mastery: Demonstrate a profound understanding of the V-Lifecycle, ensuring robust requirements traceability from initial concept through to disposal (CADMID), while integrating DevSecOps and continuous delivery pipelines.
• Architectural Stewardship: Provide high-level technical overwatch of architectural design, ensuring system integrity during the integration of Cloud architectures and AI/ML models.
• Engineering Governance: Apply rigorous engineering oversight and process discipline to enhance quality, ensuring that Data Integrity and Algorithm Assurance are maintained throughout the lifecycle.
• Systems Thinking: Utilise holistic systems thinking to influence, shape, and de-risk complex customer problems, particularly in the transition from legacy hardware to Software-Defined and Cloud-hosted solutions.
• Methodological Versatility: Remain well-versed in multiple delivery methodologies, including Waterfall, Scaled Agile (SAFe), and hybrid frameworks suited for secure government digital transformation.
• Domain Expertise: Leverage experience across multiple client domains with a deep working knowledge of relevant Defence Standards (Def Stans) and digital standards.

Requirements

• Stakeholder Management: Proven ability to manage multiple, challenging stakeholders, navigating competing priorities within the MOD, DE&S, or wider government agencies.
• Executive Gravitas: The ability to gravitate seamlessly between C-suite executives, senior military leads, and technical SMEs specialising in Data Science and Cloud Engineering.
• Technical Context: Extensive experience operating within high-security or safety-critical domains, with specific exposure to Big Data Analytics, Machine Learning (ML), and Hyperscale Cloud (AWS, Azure, or GCP) in a secure context.
• Regulatory Compliance: Strong practical experience working to established and international standards from ISO to Def-Stans and JSPs.
• Architectural Frameworks: Practical experience in applying MODAF or TOGAF to ensure coherent system-of-systems design across hybrid-cloud environments.
• Vetting: Applicants must hold, or be capable of obtaining, UK Developed Vetting (DV) clearance.

Technical Standards & Regulatory Framework

The successful candidate will ensure that all engineering activities comply with the following mandatory and advisory standards:

Soft Skills

• Strategic Diplomacy: The ability to navigate complex, multi-organisational politics and influence senior stakeholders without direct formal authority.
• Articulate Translation: Capable of distilling high-level technical complexity (e.g., Cloud scaling or AI inference) into clear briefings for non-technical senior leaders.
• Cognitive Agility: The mental flexibility to pivot between the rigour of safety-critical planning and the rapid pace of Agile software development.
• Integrity and Discretion: An innate commitment to information assurance and the ethical considerations required when working with sensitive national assets.
• Technical Mentorship: A proactive approach to coaching junior engineers in Systems Thinking and modern digital engineering practices.
• Resilience: The composure to lead technical teams through high-pressure delivery milestones and complex “system-of-systems” integration challenges.

Salary £75,000 - £98,000

SC Clearance:

Zaizi works with UK Central Government departments on a range of projects. To be able to work on our customer projects, employees must be Security Cleared to a standard acceptable to our Government customers. Due to this restriction we can currently only recruit candidates who have the right to work in the UK without sponsorship and who have lived in the UK for the last 5+ years continuously.

Benefits

Compensation

• Competitive Pay: Salaries reviewed annually to ensure they reflect your performance and market value.
• Loyalty Pension: We invest in your future. Starting at a 5% employer contribution, we increase this by 0.5% every year after your third anniversary, up to a maximum of 8%.
• Protection: Comprehensive Group Life Assurance for peace of mind.

Purpose & Culture

• Real Impact: Work on mission-critical projects that secure and improve the UK’s digital infrastructure.
• Autonomy: A culture that empowers you to make decisions, prototype rapidly, and iterate towards success.
• Service & Community: We support those who serve. 10 paid days for Reservist Military Service.

Work / Life Balance

• Time Off: 25 days annual leave+ Bank Holidays, with the flexibility to Buy/Sell additional days to suit your lifestyle.
• Giving back: 2 paid volunteering days per year.

Development & Growth

• Master Your Craft: Fully funded professional certifications (AWS, GCP, Agile, etc.) supported by 5 days paid study leave.
• Expand Your Horizons: An additional £500 annual “Personal Choice” fund to learn whatever inspires you-work-related or not.
• Support: Access to 1-2-1 professional coaching and team training to accelerate your career.

Health & Balance

• Premium Health: Vitality Private Medical Insurance (includes Apple Watch, gym discounts, and rewards).

• Flexibility: Genuine hybrid working with a WFH equipment allowance to perfect your home setup.

• Wellbeing: Cycle to Work scheme and a commitment to sustainable, healthy working practices.

Your work days are brighter here. We're obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you'll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We're in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you'll do meaningful work with Workmates who've got your back. In return, we'll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you've found a match in Workday, and we hope to be a match for you too. About the Team The Global Partner Marketing organization drives growth through Workday's partner ecosystem. We build programs that support pipeline growth, and expand the value customers get from Workday. Workday Marketplace is a critical part of this ecosystem. It connects customers with Workday and partner-built applications and solutions that extend Workday's platform. As Marketplace continues to grow, marketing plays a key role in driving discovery, adoption, and revenue impact. This role sits within Partner Marketing - working closely with stakeholders and collaborators across the Global Partner Organization, Workday's Partner Ecosystem and the wider marketing organization including Product Marketing and Digital teams. About the Role As the Workday Marketplace Marketing Lead, you will own the marketing strategy that drives growth, adoption, and impact from the Workday Marketplace.This role blends partner marketing, product marketing, and performance marketing. You will develop programs that increase customer and prospect awareness of Marketplace, customer discovery of Marketplace solutions, generate qualified leads, improve conversion into opportunities, and influence ACV in deals involving partner applications.You will also play a key role in positioning Marketplace within Workday's broader product narrative, supporting launches of new Marketplace capabilities and ensuring partner solutions are embedded in go-to-market motions.Why This Role Matters: Workday Marketplace is a key driver of platform growth and partner innovation. This role will help scale how customers discover and adopt partner-built solutions, strengthening the Workday ecosystem and increasing the value customers realize from the platform. Key Responsibilities Marketplace Growth Strategy Build overall awareness of Marketplace as a destination for discovery for Workday customers and prospects. Define and lead the marketing strategy to drive Marketplace traffic, lead generation, and pipeline impact.Identify high-value Marketplace solutions and partner categories to prioritize based on customer demand and revenue potential. Develop scalable marketing programs that increase discovery and adoption of partner solutions.Partner Marketing & Co-Marketing Design and execute co-marketing programs with priority partners, including campaigns, events, solution spotlights, and industry plays. Help partners effectively market their Marketplace solutions to Workday customers and prospects.Funnel Performance & Optimization Own the Marketplace marketing funnel from traffic through lead creation, qualification, and conversion into opportunities. Work closely with Digital, Sales, SDRs, and Revenue Operations to optimize lead routing, qualification, and handoffs. Establish and monitor KPIs including traffic, engagement, leads, conversion rates, pipeline, and influenced ACV.Product & Marketplace GTM Partner with Product Marketing and P&T teams to position Marketplace as a core extension of the Workday platform. Support launches of new Marketplace features and experiences with messaging, enablement, and marketing plans. Ensure Marketplace solutions are embedded into product narratives, campaigns, and sales plays.Experimentation & Optimization Build a roadmap of experiments to improve Marketplace performance. Use testing and analytics to improve conversion across the funnel.Cross-Functional Leadership Collaborate across Partner Marketing, Partner Alliances, Product Marketing, Digital, Sales, and Operations teams to align priorities and execution. Translate data and performance insights into clear recommendations for future investment and strategyFlagship Events & Ecosystem Visibility Own the Marketplace marketing presence at major Workday events such as Rising, DevCon, SKO, and Partner Summit. Develop Marketplace-focused content, showcases, and partner storytelling that highlight the value of the ecosystem to customers and prospects. Partner with Events, Product, and Partner teams to ensure Marketplace solutions are represented in demos, sessions, and on-site experiences. About You Basic Qualifications 8+ years of experience in B2B SaaS marketing, ideally across partner marketing, demand generation, or product marketing. Proven experience delivering measurable pipeline or revenue impact through marketing programs. Experience working with or marketing within partner ecosystems or technology marketplaces. Strong analytical skills and experience working with marketing and sales performance data. Preferred Qualifications Experience developing co-marketing programs with cloud or SaaS ecosystems (e.g. AWS, Salesforce, Microsoft, ServiceNow, etc.). Strong understanding of how marketplaces drive product discovery, partner growth, and co-sell opportunities. Experience running integrated campaigns across digital, content, events, and partner channels. Hands-on experience with experimentation and conversion optimization. Ability to translate technical partner solutions into clear, compelling customer value propositions. Strong storytelling, writing, and cross-functional collaboration skills. Our Approach to Flexible Work With Flex Work, we're combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email Workday, we value our candidates' privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.Read more below to learn more on our stance on being

Machine Learning Engineer page is loaded Machine Learning Engineerlocations: Londonposted on: Posted Todayjob requisition id: R-003229 Salary : £67,900 Closing Date : 5th May 2026 Contract Type : PermanentThe Wellcome Trust is a global charitable foundation. We improve health for everyone by funding science, leading policy and advocacy campaigns, and building partnerships.We plan to spend £16bn over the next ten years, funding new discoveries in life, health, and wellbeing, and taking on three global health challenges: mental health, infectious disease and climate and health.These challenges need the bold science we support, but they won't be solved by science alone. Where in Wellcome will In this role, you will work together with an interdisciplinary team of software engineers, data engineers, analysts, and designers to help Wellcome gain a deeper understanding of its funding data and inform decision-making. You will have the opportunity to develop machine learning models understand our research funding and it's impacts. With an emphasis on natural language processing and network analysis. You will work with open-source software in a highly collaborative team, developing, maintaining, and proposing new solutions to enhance our data science offering to the organisation. Propose, develop, and evaluate machine learning models with an emphasis on natural language processing Translate business problems to data science tasks and present complex results to stakeholders Collaborate on a cross-functional team, sharing ideas, doing code reviews, maintaining, and improving our internal data science tooling Identify opportunities where machine learning can help Wellcome make better decisions Identify opportunities where machine learning can help Wellcome make better decisions Contribute to a diverse and inclusive culture across the organisation, collaborating across departments How to apply To apply for this role, please submit an up-to-date CV and answer two application questions to demonstrate that you meet the minimum requirements for the role. Minimum Criteria: Advanced degree (MSc or PhD) in a quantitative field such as machine learning, data science, computer science, statistics, engineering or mathematics. Strong Python and SQL skills with a grounding in software engineering best practices. In-depth understanding of a deep learning framework such as PyTorch, TensorFlow or JAX. Knowledge of supervised/unsupervised machine learning and modern natural language processing techniques for text classification, named entity recognition, and topic modelling. Strong knowledge of data science libraries such as Polars, Pandas, NumPy, Scikit-learn. Experience working with cloud platforms such as AWS, Azure or GCP. Experience working collaboratively in a multidisciplinary team.You can view the full job on our webite You can read more about the benefits we offer our employees on our Our Hybrid Way of Working We understand that our colleagues have commitments and personal interests outside of work and we strive to build a flexible working environment, in which people can perform at their best. At Wellcome we have a hybrid way of working: 3 days in our Euston Road offices (Tuesday, Wednesday and Thursday), with the remaining 2 days working either remotely or in the office. Diversity and Inclusion is at the heart of everything we do We are committed to cultivating a fair and inclusive environment, where everyone can be themselves and thrive. We are happy to discuss flexible working options for all roles. We work to ensure that our recruitment processes are as inclusive as possible to everyone. This includes making adjustments for people who have a disability or long-term condition. Please visit our website for more information on adjustments and accessibility, or contact us at . support researchers, we take on big health challenges, we campaign for better science, and we help everyone get involved with science and health research. Wellcome isn't just a supporter of great ideas, it's a great place to work. We offer excellent benefits and help our employees to develop in an open, respectful culture where differences are valued.

About the Role

We are looking for an experienced Product Owner to lead the definition, delivery and continuous improvement of our enterprise Data Management Platform, with a primary focus on Master Data Management (MDM) and Customer 360 data products.

Key Responsibilities Product Strategy & Roadmap

• Own and evolve the product roadmap for the MDM platform and associated data products, aligning with enterprise data strategy and regulatory requirements.
• Define and articulate the vision for Customer 360 and other master data domains (Party, Account, Product), ensuring stakeholder alignment across the business.
• Prioritise the backlog based on business value, data quality impact, compliance obligations and engineering effort.

Specification & Requirements

• Author detailed data product specifications including business requirements, data models, entity resolution rules, matching/merge logic and golden record definitions.
• Write unambiguous user stories, acceptance criteria and definition of done artefacts tailored for both technical engineers and business consumers.
• Translate complex regulatory and compliance requirements (e.g. BCBS 239, GDPR) into actionable product backlog items.
• Define data lineage, data quality rules and SLA/SLO requirements for each data product.

Platform & Delivery

• Collaborate closely with Informatica architects and engineers to ensure platform configurations - including MDM Hub, Data Quality (IDQ), and Customer 360 SaaS modules - meet business requirements.
• Manage sprint ceremonies: backlog refinement, sprint planning, review and retrospectives in an Agile/SAFe delivery model.
• Partner with data stewards, data governance teams and business SMEs to validate data models and matching rule outcomes.
• Drive UAT planning, coordinate business sign off, and manage go live readiness including training and change management artefacts.

Stakeholder Engagement

• Act as the primary point of contact for business stakeholders, translating their data needs into platform capabilities.
• Present product updates, roadmap progress and data quality metrics to senior leadership and governance forums.
• Engage with vendor (Informatica) to manage the product enhancement pipeline, escalations and licensing considerations.

Required Experience & Skills Essential

• Minimum 6+ years of experience as a Product Owner or Business Analyst in data management, with at least 3 years focused on MDM platforms.
• Demonstrable experience delivering Informatica MDM (MDM Hub or C360 SaaS) implementations at enterprise scale, ideally in a banking, financial services or similarly regulated industry.
• Deep understanding of MDM concepts: entity resolution, probabilistic/deterministic matching, golden record management, survivorship rules and trust scores.
• Proven ability to write high quality product specifications, functional requirement documents and user stories for data engineering teams.
• Strong grasp of data governance, data quality frameworks and data lineage principles.
• Experience working in Agile/SAFe delivery environments using tools such as Jira and Confluence.
• Familiarity with banking data domains: Customer, Account, Party, Transaction and Product master data.

Desirable

• Informatica certifications (e.g. Informatica IDMC, MDM or CDI certifications).
• Exposure to regulatory data requirements: BCBS 239, GDPR, FCA data obligations.
• Experience with complementary Informatica modules: Intelligent Data Quality (IDQ), Axon Data Governance, Enterprise Data Catalog (EDC) or Data Privacy Management.
• Knowledge of cloud data platforms (AWS, Azure or GCP) and their integration with Informatica IDMC.
• Familiarity with data mesh or data product thinking as an architectural paradigm.
• Experience with BI and data consumption layers (e.g. Tableau, Power BI) to understand downstream usage of master data.

Location

London, UK

Employment Type

Full time

Department

Go To Market

About the Team

The AI Deployment Engineering (ADE) team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems.

As a Partner AI Deployment Engineer focused on AWS, you will operate at the center of one of our most strategic partnerships, driving joint customer success and enabling AWS and partner ecosystems to scale adoption of OpenAI powered solutions.

About the Role

We are looking for a highly experienced technical leader to serve as the primary technical counterpart to AWS field leadership (Solutions Architects, Specialists, and Partner teams).

This role goes beyond individual deal support-you will shape strategy, define engagement models, and build repeatable systems that scale across AWS globally. You will work across pre and post sales, guiding complex enterprise customers from ideation to production while enabling AWS and partners to independently drive deployments.

You will combine deep technical expertise, strong judgment, and ecosystem leadership to maximize impact across a portfolio of high priority opportunities.

In This Role, You Will Strategic AWS Engagement & Influence

• Serve as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams.
• Influence joint account strategy and technical direction for high priority opportunities.
• Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices.
• Proactively identify and drive net new opportunities and high impact use cases across the AWS ecosystem.

Complex Deal Leadership & Execution

• Lead technical strategy for large, ambiguous, and high stakes enterprise engagements.
• Guide customers from early ideation through architecture design, prototyping, and production deployment.
• Act as a technical decision maker and escalation point, de risking complex implementations.
• Apply strong judgment to prioritize opportunities and allocate limited technical resources for maximum impact.

Solution Architecture & Hands On Building

• Design and communicate end to end AI architectures leveraging OpenAI and AWS services.
• Build and guide development of prototypes, POCs, and reference implementations to accelerate adoption.
• Establish best practices for scalable, secure, and production ready GenAI systems.
• Ensure solutions are designed for repeatability, extensibility, and partner led delivery.

Ecosystem Enablement & Scale

• Enable AWS and partners through scalable technical motions (workshops, playbooks, reference architectures, demos).
• Develop reusable solution patterns and assets that can be deployed independently by AWS teams and SIs.
• Mentor and uplift partner technical teams, accelerating their path to self sufficiency.
• Scale impact by working through GSIs, RSIs, and ISVs, rather than relying solely on direct engagement.

Cross Functional Leadership & Feedback

• Partner closely with Alliances, Product, Engineering, GTM, and Enablement to align on strategy and execution.
• Act as a bridge between field and product, delivering high signal insights to inform roadmap and prioritization.
• Contribute to internal knowledge systems and help define standards, patterns, and playbooks for the ADE function.

We’re Looking for Someone With

• 8+ years of experience in solutions architecture, technical consulting, or equivalent customer facing roles.
• Deep experience with AWS architecture and field engagement models.
• Strong understanding of AI/ML systems and modern application architectures.
• Proven track record of leading complex, enterprise scale technical engagements.
• Experience supporting enterprise sales cycles as a senior technical lead.
• Strong ability to translate ambiguous business problems into scalable technical solutions.
• Demonstrated judgment in prioritization, tradeoffs, and resource allocation.
• Experience influencing senior technical stakeholders and executive leadership.
• Track record of driving production deployments and measurable customer outcomes.
• Experience working within partner ecosystems (AWS, GSIs, ISVs).

You Might Thrive in This Role If You

• Operate as a technical leader and systems thinker, not just an individual contributor.
• Balance hands on building with strategic influence and scale.
• Know when to go deep technically vs. enable others to execute.
• Build trust quickly with engineers, architects, and executives alike.
• Default to creating repeatable patterns, not one off solutions.
• Are comfortable owning ambiguous, high visibility problem spaces.
• Take a long term, ecosystem oriented view of impact.
• Are motivated by driving customer and partner success at scale.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

The role

We are hiring this role at multiple levels - mid & senior. You will contribute to the development of high quality, reliable, and medically sound mobile applications for our products, using React Native across iOS and Android platforms. Your work will play a key role in delivering clinically responsible features, improving mobile architecture, and ensuring releases meet user needs. This app is used by healthcare professionals and patients to enable early diagnosis and avoid long hospital waitlists, literally helping to save lives.

Key Responsibilities

• Be the expert (for seniors) - bring React Native expertise to raise technical quality and reduce bugs/performance issues.
• Mobile Architecture Leadership (for seniors, mids support this) - propose and lead architectural improvements to the mobile codebase.
• Collaborative working - support the team in building structured, scalable mobile app patterns.
• Act as a bridge - between product ideas and compliant mobile implementation.
• Champion traceability and test automation - reducing manual QA effort.
• Help shape mobile CI/CD and release processes - to be repeatable, auditable, and efficient.
• Review code with care - raise the bar on mobile engineering maturity.
• Calm, quality first mindset - especially when balancing delivery with safety critical obligations.

Requirements

• Advanced React Native experience, including hooks, navigation, styling, and performance optimisation.
• Deep understanding of iOS and Android build systems, provisioning, certificates, and store requirements.
• Proficiency with CI/CD for mobile apps using tools such as Fastlane or GitHub/Bitbucket Pipelines.
• Experience managing TestFlight and Play Store deployments, including internal/beta testing tracks.
• Experience with unit testing, integration testing, and preferably end to end testing using tools (e.g. Appium).
• Familiarity with crash reporting and performance monitoring tools.
• Strong ability to integrate with REST APIs, manage secure authentication flows, and handle offline scenarios.
• Basic understanding of backend systems (e.g. Node.js, AWS) to debug issues and contribute to API design discussions.
• Proficient in Git, with best practices for branching, tagging, and changelogs.
• Comfortable using tools like Jira, TestRail, and writing technical documentation.
• Experience working in cross functional teams with QA, Product, and Regulatory.

Benefits

• Competitive salary
• Share options package - all our employees have ownership in the company.
• Private healthcare
• Company pension incl. salary sacrifice options
• 25 days annual leave + 5 day company shutdown in August + bank holidays.
• Enhanced parental leave - includes adoption & foster.
• YellowNest Salary Sacrifice Nursery Scheme - save with workplace nursery scheme.
• Bike to work scheme
• Training budget
• Weekly catch ups, monthly meetings to talk about you, your ambitions and work on your development.
• Lots of fun social activities!

Our Values

• Building a Strong Foundation
• Always Learning
• Lead from the Front
• Tough and Resilient

Skin Analytics embraces and is committed to diversity and equal opportunities. We are dedicated to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be. If you need any adjustments during our hiring process, you can indicate that at the next step.

About the Role

Grade Level (for internal use): 11

The Team

S&P Global corporates value stream technology team consists of geographically diversified software engineers responsible to develop scalable solutions by working directly with product development team. Our team culture is oriented towards equality in the realm of software engineering irrespective of hierarchy promoting innovation. One should feel empowered to iterate over ideas and experimentation without being afraid of failure.

Responsibilities and Impact

You will enable S&P ratings business to provide best in class end-to-end analytical, commercial and customer experience by building feature rich solutions including big data engineering, analytics, business intelligence and workflow capabilities. The ideal candidate thrives in a highly technical role and will design and develop software using cutting edge technologies consisting of web applications, data pipelines, big data, machine learning and multi-cloud.

• Active participation in all scrum ceremonies, follow AGILE best practices effectively.
• Play a key role in the development team to build high-quality, high-performance, scalable code.
• Document and demonstrate solutions using technical design docs, diagrams, and stubbed code.
• Collaborate effectively with technical and non-technical stakeholders
• Respond to and resolve production issues.

What we are looking for

• Minimum 5+ years of work experience in Technology (application development and production support).
• Strong hands-on experience with React and TypeScript, including building scalable, maintainable front-end architectures.
• Solid understanding of HTML5, CSS, and modern JavaScript, with experience building responsive and accessible user interfaces.
• Experience working with REST APIs and integrating frontend applications with backend services.
• Familiarity with modern frontend development practices, including component-driven development, state management, and testing.
• Experience working in Agile teams, participating in code reviews, and collaborating closely with product managers, designers, and backend engineers.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.

Nice to have

• Experience with backend development using Java and Spring-based technologies such as Spring Boot.
• Experience with cloud platforms such as AWS.
• Familiarity with containerized environments and CI/CD pipelines.
• Domain knowledge in Financial Services or Capital Markets.

About S&P Global Ratings

At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions.

S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today.

For more information, visit

What’s In It For You Our Mission

Advancing Essential Intelligence.

Our People

We’re more than 35,000 strong worldwide-so we’re able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values

Integrity, Discovery, Partnership

Throughout our history, the world’s leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you-and your career-need to thrive at S&P Global.

Our benefits include:

• Health & Wellness: Health care coverage designed for the mind and body.
• Flexible Downtime: Generous time off helps keep you energized for your time on.
• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
• Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.

For more information on benefits by country visit:

Global Hiring and Opportunity at S&P Global

At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

S&P Global has a Securities Disclosure and Trading Policy (“the Policy”) that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy’s requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy.

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Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.

US Candidates Only

Know Your Rights: Workplace discrimination is illegal ()

Location

London, United Kingdom

What we’re all about.

Do you ever have the urge to do things better than the last time? We do. And it’s this urge that drives us every day. Our environment of discovery and innovation means we’re able to create deep and valuable relationships with our clients to create real change for them and their industries. It’s what got us here - and it’s what will make our future. At Quantexa, you’ll experience autonomy and support in equal measures allowing you to form a career that matches your ambitions. 41% of our colleagues come from an ethnic or religious minority background. We speak over 20 languages across our 47 nationalities, creating a sense of belonging for all.

Opportunity

You’ll be joining one of our DevOps teams in our R&D department working on the Quantexa Cloud Platform and accompanying solutions, including platforms supporting data intensive and AI driven workloads. The platform is comprised of a landscape of low maintenance, on demand, and highly secure environments that host our software for customers and partners. These environments also support a wide range of internal use cases, underpinning the work of our R&D teams.

As a Senior DevOps Engineer, you will:

• Contribute to the evolution and improvement of our cloud based platform, with a strong focus on availability, resilience, performance and security.
• Take ownership of significant technical problems and initiatives, driving them through to delivery with a high degree of autonomy.
• Enhance our automation practices, helping reduce operational toil and improve the consistency and reliability of our platform, including the use of modern tooling and AI assisted approaches where appropriate.
• Collaborate closely with software engineering teams to strengthen our CI/CD pipelines and optimise build, test and deployment workflows, with an eye on improving overall developer productivity.
• Support the development of cloud based product capabilities that customers can integrate into their own DevOps processes.
• Contribute to technical discussions, provide guidance on best practices, and help shape engineering standards within the team.
• Offer informal mentoring and knowledge sharing to engineers, supporting the growth of the wider DevOps community.

This role focuses on deep hands on technical expertise and the ability to lead complex workstreams, while stopping short of the architectural ownership and broader technical leadership responsibilities of a Lead Engineer.

Our Stack Includes:

• Kubernetes, Docker, Istio
• GitOps / DevOps tooling: ArgoCD, Jenkins, GitHub Actions
• Scripting & Automation: Bash, Python, Groovy, Golang
• IaC & Infrastructure Management: Terraform, Ansible, Packer, CasC
• Provisioning Frameworks: Elasticsearch, Spark, Hadoop, Airflow, PostgreSQL, etc.
• Observability: Fluentd, Prometheus, Grafana, Alertmanager
• Public Cloud: Primarily GCP and Azure, with some AWS

We are looking for candidates who:

• Take pride in designing, building and delivering high quality, well engineered solutions to complex problems.
• Think holistically, ensuring solutions integrate effectively into large scale distributed systems.
• Bring strong hands on experience across several aspects of our cloud and DevOps stack.
• Have solid experience with programming/scripting/automation.
• Demonstrate a strong understanding of information security principles.
• Have experience operating and supporting cloud native platforms in production environments.
• Are comfortable working autonomously, leading technical workstreams and driving improvements.
• Enjoy sharing knowledge and supporting the development of other engineers.

Experience in the following would be beneficial:

• Infrastructure management and general Linux administration.
• Operating microservice based architectures (scaling, upgrading, traffic management, deployment strategies).
• Software build, release engineering and CI/CD pipeline enhancement.
• Exposure to a broad selection of the technologies listed in our tech stack.
• Exposure to platforms or tooling that support AI/ML workflows, data intensive pipelines, or intelligent automation.

Benefits

• Competitive salary and Company Bonus
• Flexible working hours in a hybrid workplace & free access to global WeWork locations & events
• Pension Scheme with a company contribution of 6% (if you contribute 3%)
• 25 days annual leave (with the option to buy up to 5 days) + birthday off
• Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period
• Family: Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave
• Private Healthcare with AXA
• EAP, Well-being Days, Gym Discounts
• Free Calm App Subscription
• Workplace Nursery Scheme
• Team’s Social Budget & Company-wide Summer & Winter Parties
• Tech & Cycle-to-Work Schemes
• Volunteer Day off
• Dog friendly Offices

Our mission

We have one mission. To help businesses grow. To make data easier. And to make the world a better place. We’re not a start up. Not anymore. But we’ve not been around that long either. What we are is a collection of bright, passionate minds harnessing complexities and helping our clients and their communities. One culture, made of many. Heading in one direction - the future.

It’s all about you.

It’s important to us that you feel welcome, valued and respected. After all, it’s your individuality and passion for what you do that will make you Q. We see that - which is why we’re proud to be an Equal Opportunity Employer. We’ve created and will continue to improve our inclusive and diverse work environment. Regardless of your race, beliefs, color, national origin, gender, sexual orientation, age, marital status, neurodiversity or ableness - whoever you are - if you are a passionate, curious and caring human being who wants to push the boundaries of what’s possible, then we want to hear from you.

Intro Evident is an intelligence platform that benchmarks and tracks AI adoption across the financial services sector. Since the launch of our flagship product in January 2023, the Evident AI Index has rapidly become the global standard benchmark for AI maturity in banking. The Evident AI Index forms the basis of our benchmarking products, which help companies to understand their ranking in relation to peers and to accelerate their AI strategy. The Client Delivery team, sitting at the core of Evident's value proposition to clients, is responsible for delivering bespoke benchmarking analysis to clients and shaping the strategy of our benchmarking products. We are index experts. Our Co-Founders Alexandra Mousavizadeh and Annabel Ayles have more than 30 years of experience building complex indices that drive positive change in the world. We are building a cutting edge research team that uses the latest techniques in machine learning to build faster and better data collection and analysis tools. We are backed by some of the world's leading tech investors, including the backers of Revolut and the tech commentator Scott Galloway, and have built a network of advisors that includes the Global AI Lead at AWS, Mastercard's President of Cyber & Intelligence, Ocado's former CTO, the former CCO of the Alan Turing Institute, the Chair of the UK Government AI Council and the former Head of the UK Government Office for AI. If you are interested in advancing your career at a fast-growing, innovative and impact-driven company, you can read about Our Values and Our Commitment to Responsible AI here. Our commitments to diversity and inclusion are set out at the end of this job description. The Role We are seeking sharp, analytical and strategically minded individuals who are interested in working with C Suite decision makers at the world's largest financial institutions to shape AI strategies. As a Senior Manager in our Client Delivery team, you lead a team that will apply strategic thinking and analytical rigour to support the delivery of bespoke benchmarking analysis to clients (comparing their AI maturity against peers and industry leaders), playing a pivotal role in contributing to the team's overarching goals of delivering best in class insights, as well as a high level of client engagement and satisfaction. Key Responsibilities Leading a team of 1-4 people that serve multiple top tier clients globally, managing and mentoring them by providing guidance and support on client management, analysis, storytelling, and presentation development. Relationship management - own client relationships for the most complex clients, in collaboration with the Account Management team, acting as a trusted advisor and translating complex data into clear business recommendations. Client delivery/engagement - independently lead key touchpoints with senior clients, including critical executive level diagnostic presentations, and more regular check ins with client teams. Structuring, preparing and reviewing content for clients - leveraging data and insights from the Index, Data and Intelligence teams to produce bespoke analysis for clients. Strategic analysis - applying analytical rigour to content preparation by interpreting data, developing insights and identifying strengths and opportunities suitable for the client. Subject matter expertise - developing deep expertise in how AI is used in financial services, including up to date examples of case studies and impact to date. Product development - support product development by sharing client feedback to evolve benchmarking products and providing input on practical ways in which the feedback can be incorporated into existing or new products. Core Skills 6+ years of experience: ideally in strategy consulting, financial services or another role that involved the key responsibilities listed above. Team management experience managing high performing teams and upskilling them across a client management, analysis, storytelling, and presentation creation skills. Exceptional communication skills, with a proven ability to lead complex, senior stakeholder meetings and articulate clear, concise messages to diverse internal and external audiences. Proven experience in producing strategic, analytical content for clients through data and insights. Ability to proactively identify client needs and opportunities to deliver exceptional value to clients. Attention to detail and highly organised: able to support the team in managing multiple clients and deadlines in parallel. Collaborative: proven experience of working effectively with a range of cross functional team members. Proactive: you take ownership without being asked. Understanding of Financial Services, with particular focus on Banking and Payments. Understanding of AI applications in large scale organisations, with particular relevance to the Financial Services industry. If you do not fulfil all requirements in the job description, we encourage you to submit your application nonetheless. Share options: we offer all employees share options over a 4 year vesting period. Holidays: 28 days of holiday + public bank holidays. Flexible working: 3-4 days per week in our Central London office, 1-2 days remote. Pension. Private health insurance. Our commitments to diversity and inclusion Evident is committed to encouraging equality, diversity and inclusion among our workforce, and eliminating all forms of discrimination. Our aim is for our workforce to be truly representative of all sections of society and our customers, and for each employee to feel respected and able to give their best. During our recruitment process, you will not be discriminated against for any of the following reasons: race (including colour, nationality, ethnic and national origin), age, disability, gender reassignment, being married or in a civil partnership, being pregnant or on maternity leave, religion or belief, sex or sexual orientation. If you need us to make certain changes (known as reasonable adjustments) to make sure you are not disadvantaged during the recruitment process, you should contact us as soon as possible. We strive to create a working environment free of bullying, harassment, victimisation and discrimination, promote dignity and respect for all, and value and recognise individual differences and the contributions of all staff.

We are looking for a Snowflake Infrastructure / DevOps Engineer to support a data platform environment, with a focus on automation, security, and scalable deployments.

Location: Hybrid / Remote

Contract: 6 months

Start: ASAP

Inside IR35

Key Responsibilities

• Design and manage Snowflake infrastructure
• Implement and manage RBAC (roles, users, warehouses, security)
• Automate deployment of Snowflake database objects
• Build and maintain CI/CD pipelines
• Develop Infrastructure as Code using Terraform
• Collaborate with DevOps and platform teams
• Troubleshoot deployment and infrastructure issues

Required Experience

• Strong hands-on Snowflake experience (infrastructure/platform focus)
• Experience with Snowflake RBAC
• Terraform and Infrastructure as Code
• CI/CD tools (Azure DevOps, GitHub Actions, GitLab CI or similar)
• Cloud platforms (AWS, Azure or GCP)
• Strong problem-solving skills

Desirable

• Experience in regulated environments
• Exposure to data platforms or data engineering teams

Remotefull time1 day agosenior NLT AI SummaryBuild and maintain scalable distributed systems for a fast-growing fintech platformPythonKubernetesPostgreSQLReactCompetitive salary with equity package4-day work week, visa sponsorship availableNote: The job is a remote job and is open to candidates in USA. Limitless is an award-winning and fast-growing start-up focused on innovative technology products for geospatial data and analytics. They are seeking a Senior Frontend Developer to design, deliver, and maintain systems that enhance user experience and integrate APIs while collaborating with a cross-functional team. Responsibilities • Design, delivery and maintenance of their system that enables frictionless user experience • Integrate APIs • Maximize usability while working within a cross functional team of backend developers, UI/UX and product Skills • US citizenship • Experience with React • Experience with Next.JS • Experience with REST APIs • Experience with AWS • Experience with CI/CD pipelines Benefits • Equity options • Remote first • Private medical & dental Company Overview • limitless was born to be an innovative talent partner Helping start-ups, SMEs and large global tech companies scale their software engineering teams while ensuring uncompromisable standards and values that put people and the planet first, because in the long run this will drive us as a business and the world forward. It was founded in 2022, and is headquartered in London, GB, with a workforce of 2-10 employees. Its website is Apply tot his jobvia JSearch# Remote Senior Frontend Developer - $200,000 + Equity - Austin, RemoteHirezaSign up free to unlock AI summariesGet instant AI insights for every job - key skills, salary signals, red flags, and standout perks Job SummaryCompany: HirezaLocation: RemoteJob Type: full timeExperience: seniorCategory: software-devPosted: 1 day ago

The Solutions Architect (AI/BI) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (AI/BI) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.

The AI/BI product-line requires the following core technical competencies:

• Experience in designing and delivering cloud-based Data Visualisation and Analytics Solutions in a client or customer environment
• Ability to advise customers in lakehouse analytics architecture: Prepare Databricks stakeholders for internal conversations and communicate directly, including anticipating blockers and address them before they become an issue
• Certification and/or demonstrated competence in data visualisation and analytics systems along with one of Azure, AWS or GCP cloud providers
• Demonstrated competence in the Lakehouse architecture including hands-on experience with Apache Spark, Python and SQL

The impact you will have

• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
• As a trusted advisor,serve as an expert Solutions Architect and “champion,” building technical credibility with stakeholders to drive product adoption and vision.
• Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.

Competencies & Responsibilities

• 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.
• Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes.
• Proficient in programming, debugging, and problem-solving using SQL and Python.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
• Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.
• A track record of driving complex projects to completion in fast-paced, customer-facing environments.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Software Development Engineer II - Java Job Description

As an SDE2 at Tesco, you are a mid-level individual contributor whose impact reaches across your team. You provide technical leadership for medium to large features, participate in their design, and take accountability for delivery. You are expected to implement and ship end-to-end stories, support other engineers, and start to build and prioritize your own work by understanding team problems and proposing solutions. This role is a stepping stone towards SDE3, with a focus on career development and technical growth.

Key areas of impact

• Developing high-quality software solutions, with proficiency in Java (Spring Boot or other frameworks).
• Working with Microsoft Azure and Terraform (Infrastructure as Code) or demonstrating a willingness to learn.
• Implementing and advocating CI/CD best practices for seamless software delivery.
• Maintaining high-quality documentation to support development processes and system design.
• Utilize data-driven decision-making, balancing short-term and long-term goals, and accepting appropriate trade-offs.
• Apply Tesco architectural standards and best practices, including security-first thinking and use of tools for vulnerability management and secure coding.
• Ensuring solutions are robust, scalable, and efficient.
• Taking ownership of systems, driving reliability, maintainability, and performance.
• Mentoring and supporting fellow engineers, fostering a culture of growth and collaboration.
• Automating workflows and building tools/scripts to enhance efficiency.

Technology Stack We Are Using

• Languages: Experience in delivering Java (or any other JVM language), good to have: JS, TypeScript
• Frameworks: Spring Boot or Micronaut
• Cloud: Azure, Terraform for infrastructure automation
• Architecture: Microservices
• DB: SQL (PostgreSQL), NoSQL databases, e.g. Cosmos DB or Couch DB
• Monitoring & alerting: Splunk, xMatters, New Relic etc.
• VCS: GitHub
• Zendesk & JIRA

Requirements

• Solid experience in delivering Java or other JVM languages; familiarity with JS/TypeScript is a plus.
• Experience with cloud platforms (Azure, AWS) and infrastructure automation (Terraform).
• Good understanding of SQL (PostgreSQL) and NoSQL databases (e.g., Cosmos DB).
• Familiarity with monitoring and alerting tools (Splunk, xMatters, New Relic).
• Experience working with Agile methodologies (Scrum/Kanban)
• Good English communication skills
• Experience in system design
• Experience in taking ownership of a project and leading a team from technical/ project perspective
• Proactive attitude

At GSK, we are actively working on building a future in which state of the art software, Artificial Intelligence (AI) and Machine Learning (ML) enable us to develop new therapies and personalized medicines that drive better outcomes for patients at reduced cost with fewer side effects. This ambitious mission requires scalable, cloud native solutions at the forefront of Software Engineering, Cloud Infrastructure, Efficient Compute, Machine Learning and AI. If this excites you, we would love to chat.

About the Role

To strengthen our AI for Science (AI4S) team, we are looking for Software Engineers with a track record in developing production grade, data driven software solutions. You will drive the development of scalable cloud infrastructure and efficient compute solutions to support large scale AI models and agentic systems - building robust, high performance software that enables scientific research using modern cloud technologies and the vast biomedical data sources available at GSK.

In this role you will

• Create scalable infrastructure and software solutions to support large scale AI models and agentic systems across the entire software development lifecycle.
• Design and implement sophisticated machine learning and deep learning pipelines that can handle massive amounts of data with optimal resource utilization.
• Develop and maintain cloud native architectures that enable seamless deployment and scaling of AI/ML workloads.
• Deliver robust, tested and high performance code in an agile environment.
• Collaborate with AI/ML engineers, data scientists, and domain experts to ensure fit for purpose infrastructure and data pipelines for cutting edge scientific projects.

Qualifications & Skills

• A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others) OR equivalent work experience as a professional software engineer.
• Advanced programming expertise in Python and a track record of delivering robust, scalable software solutions.
• Experience with cloud platforms (AWS, GCP, Azure) and cloud native architectures.
• Passion for software design and commitment to developing reusable, scalable, and testable software components.
• Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow).
• Knowledge of command line tools and shell scripting.
• Knowledge of software engineering best practices, including continuous integration, continuous deployment, containerization, and infrastructure as code.
• Strong problem solving and debugging skills, and experience working in cluster settings or cloud based environments.
• Fluency in English.

Preferred Qualifications & Skills

• Familiarity with machine learning principles and state of the art modelling approaches.
• Experience in design, development, and deployment of commercial cloud native software and infrastructure.
• Experience building and deploying large scale AI models and agentic systems in production environments.
• Experience architecting, developing, and deploying distributed training pipelines for large models with PyTorch or TensorFlow.
• Expertise in performance optimization, cost optimization, and efficient compute resource management in cloud environments.
• Contributions to relevant open source projects.
• Knowledge or interest in disease biology, molecular biology, and medicine.
• Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images).

Salary and Benefits

If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges from $136,125 to $226,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role.

The position also offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.

Equal Opportunity Employer

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

We are seeking a highly skilled Automation Tester to design, develop, and execute automated test solutions that ensure the delivery of high-quality software products. The ideal candidate will have strong expertise in working with automation frameworks, API testing, and Agile methodologies, with hands on experience in CI/CD environments. This role requires technical proficiency, problem solving skills, and the ability to collaborate effectively with cross functional teams.

Key Responsibilities Test Design & Execution

• Design and implement automated and manual test cases for functional, integration, and regression testing.
• Execute tests and validate results to ensure product quality and compliance.

API & System Integration Testing

• Perform API testing using tools like RestAssured and PACT.
• Validate system integration across multiple platforms and environments.

CI/CD & Release Support

• Integrate automated tests into CI/CD pipelines using Jenkins and Maven.

Agile Practices

• Participate in Agile ceremonies (Daily Stand ups, Sprint Planning, Retrospectives).
• Contribute to PI Planning and provide accurate Agile test estimations.

Defect Management

• Conduct defect triage sessions, prioritize fixes, and ensure timely resolution.
• Maintain defect logs and communicate status updates to stakeholders.

Required Skills & Qualifications

• Certifications: ISTQB or equivalent.
• Automation & Testing Expertise: API Testing, Automation & Manual Testing.
• Programming & Tools: Java, JUnit, WireMock, Selenium, Cucumber, OpenPOJO, RestAssured, PACT.
• Jira, Confluence, Bitbucket, Maven, Jenkins, IntelliJ, AWS.

Desired Skills

• Docker
• Kubernetes
• Kibana
• Dynatrace
• Grafana
• SonarQube
• Swagger
• Kafka

Soft Skills

• Strong analytical and problem solving abilities.
• Excellent communication and stakeholder management skills.
• Ability to work independently.

For additional information, please review .Citi's Markets technology team is growing at lightning speed, and we're looking for talented technologists to help build the future of global banking. Our teams are creating innovations used across the globe. As the world's most global bank, Citi provides an opportunity to touch every corner of the globe and deal with incomparable trade volumes, scale and impact. We're looking for new, innovative ways to push the boundaries of financial technology. Citi's global technology team spans 84 countries, with almost 30,000 colleagues managing thousands of projects across the globe. Our team is young but rapidly growing. Join an environment with a laser focus on growth and progress and take your career to the next level through the power of Citi's unmatched globality and vast expertise. We are currently building FX Risk valuation platform for Citi. There is a set of old and new platforms that serve the Client's FX business in multiple countries by providing the ability for real-time derivatives pricing, risk management and data analytics. Our platform is starting to replace a set of the existing risk applications with new generation ones with web-based UI, server-side computing and grid technology, distributed in-memory solutions. The new application is going to serve traders, sales and external clients. Solution is scalable to cover multiple locations and meet latency requirements. Team is growing fast and now we are looking for a strong and motivated FX Risk Lead Java Developer. Key Responsibilities: Design, develop, and maintain Java-based microservices for high-throughput application Integrate and optimize Apache Ignite based solution: in memory data grid for FX trades processing Implement real time data ingestion and processing pipelines using Apache Kafka / Solace messaging Design and maintain robust Mongo DB / Oracle data models and queries for data persistence Ensure application scalability and reliability in cloud-hosted Linux based environment Collaborate with DevOps to containerize services and deploy using CI/CD pipelines Conduct performance tuning, code reviews, and troubleshooting production issues Document system architecture, design decisions, and development processes What we want from you: Strong hands-on experience with Core Java and multithreading in high load system Practice with JVM performance optimization and memory profiling Familiarity with distributed systems architecture and in-memory computing concepts Proven experience with in-memory caching solution Apache Ignite in production environment Solid experience with MongoDB (CRUD, indexing, performance tuning) Deep SQL knowledge and query optimization in Oracle database Solid understanding of messaging technologies Apache Kafka / Solace Proficiency in working with Linux environment and scripting Experience deploying and maintaining applications in cloud platforms (AWS, Azure, etc.) Passion to write code using TDD and be ready for L3 support and production release activities English B1 Qualifications: Experience in systems analysis and programming of software applications Experience in managing and implementing successful projects Working knowledge of consulting/project management techniques/methods Ability to work independently, multi-task, and take ownership of various parts of a project or initiative Nice-to-Have: Understanding business processes of investment banking area Knowledge of FX Risk valuation and pricing procedures Experience with FX trade processing Education: Bachelor's degree/University degree or equivalent experience What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career.By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friendsAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review . View Citi's and the poster.

Principal Backend Engineer - Java

Location: London (Hybrid) | Type: Permanent

The Role

Capco is growing our Engineering team - and we’re looking for experienced Principal Backend Engineers with strong Java skills and a passion for delivering innovative solutions in financial services. If you enjoy solving complex problems, working with cloud-native technologies, and collaborating in agile teams, we’d love to hear from you.

As a Principal Backend Engineer at Capco, you’ll contribute to high-impact, client-facing projects that shape the future of financial services. You’ll work alongside talented engineers, have access to industry-leading training, and get the opportunity to grow your skills across multiple platforms. You will also get the chance to work across different domains within FS & Energy.

What You’ll Do

• Build and deliver scalable Back End services using Java (11, 17+)
• Design and implement APIs and microservices for enterprise systems
• Work across cloud platforms, particularly AWS, using best practice deployment techniques
• Contribute to architecture discussions and solution design
• Develop robust test coverage including unit, integration, and performance testing
• Collaborate in agile teams alongside clients, product managers, and other engineers

What We’re Looking For

• Java Development - Expertise in Java 11, 17 and above.
• Spring Boot - Proficiency with the Spring Boot framework.
• Cloud Services - Deep understanding of deploying enterprise level software into any public cloud, preferably AWS.
• Architecture Patterns - Experience implementing microservices, event-driven, CQRS and cloud-native architectures.
• CI/CD - Strong understanding of CI/CD pipelines, particularly within the AWS ecosystem.
• Database Management - Proficiency in both SQL and NoSQL databases.
• Message Brokers - Experience with Kafka.
• Testing - Ability to write various types of tests including unit, component, integration, end-to-end, and performance tests.
• Java Streaming - Core understanding of Java streaming and AWS integration.
• Infrastructure as Code - Experience with CloudFormation or similar tools for infrastructure management.
• Large-Scale Systems Design - Experience with designing large-scale systems.
• Distributed Systems Troubleshooting - Ability to troubleshoot distributed systems.

Bonus Points For

• An appetite to contribute to the wider Capco business outside of project assignments. This can be achieved through various means including thought leadership activities, supporting RFP’s and the coaching/mentoring of more junior engineering team members
• Proficiency with Gitlab for CI/CD processes.
• Behaviour Driven Design - Experience writing automation test cases in Cucumber using Behaviour Driven Design (BDD).
• AWS Certified Solutions Architect - Associate or Professional level certification required.
• Security Best Practices - Strong knowledge of security best practices, including the use of IAM Roles, KMS, etc.

Why Join Capco

You’ll be part of a team where your voice matters. We’re collaborative, non-hierarchical, and Laser-focused on creating impact - for our clients and for you. At Capco, you’ll shape your career around your strengths, enjoy flexibility and trust, and work with people who genuinely care about your growth and wellbeing.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

• Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
• Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.
• Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.
• Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
• Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.
• Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick-workshops, certifications, E-learning-your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development.
• Healthcare Access: Convenient online GP services.
• Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.

Inclusion at Capco

We’re committed to a barrier-free, inclusive recruitment process. If you need any adjustments at any stage, just let us know - we’ll be happy to help. We welcome applicants from all backgrounds. At Capco, we value the difference you make, and the differences that make you. Our culture champions diversity, equity and inclusivity, and we bring a collaborative mindset to our partnerships with clients and colleagues. is the cornerstone of our success and a value that our employees live and breathe every day.

Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent

Shape intelligent solutions. Lead with insight. Drive data innovation.

The Role
We are looking for a Senior Data Scientist to join Capco’s growing UK Data Practice. You will play a leading role in designing and implementing cutting-edge data science solutions across financial services. This is an opportunity to build intelligent systems that drive commercial and customer outcomes - while mentoring others and collaborating in a dynamic, multi-disciplinary environment.

What You’ll Do

• Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments
• Develop and prototype ML models to solve complex business challenges using modern techniques and tooling
• Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables
• Guide and coach data science pods, supporting skill development and solution design
• Act as a subject matter expert on ML architecture, model calibration and productionisation

What We’re Looking For

• Hands-on experience building and deploying data science solutions in Python and related ML libraries
• Strong background in applied machine learning, model development and data engineering
• Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift
• Demonstrated ability to lead cross-functional teams and mentor junior practitioners
• Ability to communicate complex technical concepts clearly to non-technical audiences

Bonus Points For

• Participation in Kaggle or other data science competitions
• Experience with MLOps practices (CI/CD, model monitoring, DevOps integration)
• Familiarity with advanced NLP frameworks such as spaCy or Transformers
• MSc or PhD in a numerate discipline
• Financial services or banking experience

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across FS & Energy.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

• Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
• Mental Health: Easy access to CareFirst, Unmind, Aviva consultations and in-house first aiders.
• Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.
• Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
• Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.
• Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick - workshops, certifications, E-learning - your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development.
• Healthcare Access: Convenient online GP services.
• Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work and dental insurance.

Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.

AI Solutions Architect

Translate customer pain points into AI agents, workflows, and decision support experiences that solve real business problems. Design end to end solution architectures covering data sources, integrations, APIs, orchestration, retrieval, guardrails, human in the loop workflows, and deployment approach. Build or guide technical prototypes, proofs of concept, and pilot solutions that validate business value quickly. Partner with Product, Engineering, Customer Success, and Delivery teams to move solutions from discovery to implementation and adoption. Own technical scoping and solution planning, including requirements, assumptions, dependencies, risks, timelines, and stakeholder alignment. Act as a trusted advisor to customers, explaining technical tradeoffs clearly to both technical and non technical audiences. Drive measurable business outcomes such as faster time to resolution, improved first time fix, increased remote resolution, stronger adoption, and better customer experience. Create reusable implementation assets, reference architectures, playbooks, and industry specific patterns that improve repeatability and speed. Ensure solutions are scalable, secure, explainable, and aligned with customer governance and compliance requirements.

Partner AI Deployment Engineer (AWS)

As a Partner AI Deployment Engineer focused on AWS, the role involves serving as the primary technical counterpart to AWS field leadership, shaping strategy, defining engagement models, and building scalable systems globally. Responsibilities include influencing joint account strategy and technical direction, leading technical strategy for large enterprise engagements, guiding customers from ideation through architecture design to production deployment, and acting as a technical decision maker and escalation point. The role requires designing and communicating AI architectures using OpenAI and AWS services, building prototypes and reference implementations, establishing best practices for scalable and secure GenAI systems, and enabling AWS and partners through scalable technical motions such as workshops and playbooks. It also includes mentoring partner technical teams, scaling impact through GSIs, RSIs, and ISVs, collaborating cross functionally with Alliances, Product, Engineering, GTM, and Enablement teams, delivering insights to inform product roadmaps, and contributing to internal knowledge systems and standards for the AI Deployment Engineering function.

Agent Engineer

The Agent Engineer is responsible for partnering with customers and internal teams to design and deploy scalable AI agent architectures. Initially, the role involves ramping up on Vapi’s platform architecture, APIs, and agent capabilities, shadowing customer deployments and technical discovery calls, and learning technical architecture of current enterprise implementations. Subsequently, the role includes leading technical discovery with customers, designing solution architectures, building rapid prototypes using AI assisted development tools, and producing architecture diagrams and technical documentation for customer deployments. Ultimately, the engineer owns end to end technical design for enterprise deployments, architects complex integrations using APIs, webhooks, and event driven systems, and partners with engineering and product teams to identify platform improvements based on customer feedback.

AI Deployment Engineer - OpenAI Codex

The AI Deployment Engineer serves as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows. They partner directly with customers to design and implement AI enhanced development workflows, from rapid prototyping through scalable production rollout. The role involves building high quality demos, reference implementations, and workflow automations using Codex as part of the development process. The engineer leads large format workshops, technical deep dives, and hands on enablement sessions to help engineering organizations adopt AI coding tools effectively and safely. They contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex. Gathering high fidelity product insights from real customer deployments, they translate these insights into clear product proposals and model feedback for internal teams. The engineer influences customer strategy and decision making by framing how AI coding tools fit into their software development life cycle, technical roadmap, and organizational workflows. They also serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best practice adoption.

Director of Revenue Transformation - Gong

The Director of Revenue Transformation is responsible for owning Gong’s internal AI operating model within the IT organization, including defining the internal AI roadmap by partnering with Security, Legal, and business leaders. They operate the enterprise AI stack, enforce consistent standards for tool usage and management, and manage the full AI model lifecycle from evaluation to deprecation. They proactively interview internal teams to identify manual workflows suitable for automation using agentic AI and independently build and deploy proofs of concept to demonstrate ROI before scaling. Additionally, they manage the financial aspects such as token procurement and cost forecasting to prevent uncontrolled spend, build dashboards to monitor service levels, usage, cost, and error rates, and identify optimization opportunities for cost saving and performance tuning.

Salary: $148,000 - $225,000
Location: Austin, Chicago, New York City, Salt Lake City, or San Francisco

Deployment Engineer - WRITER

As a deployment engineer at WRITER, you will partner directly with enterprise customers to identify strategic AI use cases and validate their technical feasibility, owning the end to end implementation of tailored AI solutions. You will architect and deliver custom applications, templates, and integrations using WRITER’s platform, APIs, and Knowledge Graph capabilities to solve complex business challenges. Your role includes translating intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations for customers, guiding them through the generative AI landscape. You will collaborate extensively with internal Product and Engineering teams, provide customer feedback that influences the product roadmap and drives innovation. Additionally, you will develop scalable processes, robust documentation, and efficient workflows to reduce customer time to value for technical integrations. You will champion the adoption and expansion of WRITER’s AI solutions within customer accounts to maximize impact and return on investment.

Salary: $131,800 - $185,000
Location: San Francisco, Chicago, Austin, or New York City, United States

Customer Engagement and Delivery Engineer

Own customer engagements end to end from qualified opportunity through technical validation, go live, and ongoing delivery across all customer segments. Build customer specific demos and proofs of concept using Liquid models including LEAP for fine tuning, domain adaptation, and evaluation to drive technical wins. Lead technical discovery by mapping current state customer architectures to Liquid solutions, driving competitive positioning against open source and incumbent models, and quantifying ROI for both cost optimization and new experience use cases. Co own the product field feedback loop by documenting friction patterns, evaluation failures, and capability gaps from engagements and partnering with product and research teams to influence the roadmap. Turn engagement learnings into reusable assets such as reference architectures, solution primitives, demo building blocks, engagement playbooks, and vertical specific solution patterns across Liquid’s priority industries.

AI Agent Solutions Delivery Engineer

Design and deploy AI solutions by working closely with customers to translate their challenges into functional agents, integrating APIs and data sources to automate real business processes. Prototype quickly, build the first version, get it into production, and refine based on real world feedback. Collaborate with customer teams across engineering, product, and operations to ensure the agent performs, scales, and delivers measurable outcomes. Own end to end delivery from discovery call to deployment, leading the technical build, testing, and iteration to ensure the experience feels natural, human, and on brand. Drive adoption and expansion by sharing results, training teams, and embedding within the customer organization to uncover new opportunities for automation and scale. Act as the face of Bland by being the customer’s champion, traveling on site, developing real relationships with customers and stakeholders, hosting training sessions and dinners, and providing unreasonable hospitality.

Technical POC and Discovery Engineer

Run technical discovery, design solutions, and lead POCs alongside Account Executives to close deals, then own onboarding to get customers to first value fast. Build and implement workflows within V7 Go; combining prompt engineering, data pipelines, and integrations to solve real customer problems across document processing and more. Act as the primary technical contact for accounts, handling complex challenges and spotting expansion opportunities as customers scale. Juggle up to 10 concurrent projects while feeding customer insights back to product and engineering.

AI Solutions Architect

Translate customer pain points into AI agents, workflows, and decision support experiences that solve real business problems. Design end to end solution architectures covering data sources, integrations, APIs, orchestration, retrieval, guardrails, human in the loop workflows, and deployment approach. Build or guide technical prototypes, proofs of concept, and pilot solutions that validate business value quickly. Partner with Product, Engineering, Customer Success, and Delivery teams to move solutions from discovery to implementation and adoption. Own technical scoping and solution planning, including requirements, assumptions, dependencies, risks, timelines, and stakeholder alignment. Act as a trusted advisor to customers, explaining technical tradeoffs clearly to both technical and non technical audiences. Drive measurable business outcomes such as faster time to resolution, improved first time fix, increased remote resolution, stronger adoption, and better customer experience. Create reusable implementation assets, reference architectures, playbooks, and industry specific patterns that improve repeatability and speed. Ensure solutions are scalable, secure, explainable, and aligned with customer governance and compliance requirements.

Partner AI Deployment Engineer (AWS)

As a Partner AI Deployment Engineer focused on AWS, the role involves serving as the primary technical counterpart to AWS field leadership, shaping strategy, defining engagement models, and building scalable systems globally. Responsibilities include influencing joint account strategy and technical direction, leading technical strategy for large enterprise engagements, guiding customers from ideation through architecture design to production deployment, and acting as a technical decision maker and escalation point. The role requires designing and communicating AI architectures using OpenAI and AWS services, building prototypes and reference implementations, establishing best practices for scalable and secure GenAI systems, and enabling AWS and partners through scalable technical motions such as workshops and playbooks. It also includes mentoring partner technical teams, scaling impact through GSIs, RSIs, and ISVs, collaborating cross functionally with Alliances, Product, Engineering, GTM, and Enablement teams, delivering insights to inform product roadmaps, and contributing to internal knowledge systems and standards for the AI Deployment Engineering function.

Agent Engineer

The Agent Engineer is responsible for partnering with customers and internal teams to design and deploy scalable AI agent architectures. Initially, the role involves ramping up on Vapi’s platform architecture, APIs, and agent capabilities, shadowing customer deployments and technical discovery calls, and learning technical architecture of current enterprise implementations. Subsequently, the role includes leading technical discovery with customers, designing solution architectures, building rapid prototypes using AI assisted development tools, and producing architecture diagrams and technical documentation for customer deployments. Ultimately, the engineer owns end to end technical design for enterprise deployments, architects complex integrations using APIs, webhooks, and event driven systems, and partners with engineering and product teams to identify platform improvements based on customer feedback.

AI Deployment Engineer - OpenAI Codex

The AI Deployment Engineer serves as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows. They partner directly with customers to design and implement AI enhanced development workflows, from rapid prototyping through scalable production rollout. The role involves building high quality demos, reference implementations, and workflow automations using Codex as part of the development process. The engineer leads large format workshops, technical deep dives, and hands on enablement sessions to help engineering organizations adopt AI coding tools effectively and safely. They contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex. Gathering high fidelity product insights from real customer deployments, they translate these insights into clear product proposals and model feedback for internal teams. The engineer influences customer strategy and decision making by framing how AI coding tools fit into their software development life cycle, technical roadmap, and organizational workflows. They also serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best practice adoption.

Director of Revenue Transformation - Gong

The Director of Revenue Transformation is responsible for owning Gong’s internal AI operating model within the IT organization, including defining the internal AI roadmap by partnering with Security, Legal, and business leaders. They operate the enterprise AI stack, enforce consistent standards for tool usage and management, and manage the full AI model lifecycle from evaluation to deprecation. They proactively interview internal teams to identify manual workflows suitable for automation using agentic AI and independently build and deploy proofs of concept to demonstrate ROI before scaling. Additionally, they manage the financial aspects such as token procurement and cost forecasting to prevent uncontrolled spend, build dashboards to monitor service levels, usage, cost, and error rates, and identify optimization opportunities for cost saving and performance tuning.

Salary: $148,000 - $225,000
Location: Austin, Chicago, New York City, Salt Lake City, or San Francisco

Deployment Engineer - WRITER

As a deployment engineer at WRITER, you will partner directly with enterprise customers to identify strategic AI use cases and validate their technical feasibility, owning the end to end implementation of tailored AI solutions. You will architect and deliver custom applications, templates, and integrations using WRITER’s platform, APIs, and Knowledge Graph capabilities to solve complex business challenges. Your role includes translating intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations for customers, guiding them through the generative AI landscape. You will collaborate extensively with internal Product and Engineering teams, provide customer feedback that influences the product roadmap and drives innovation. Additionally, you will develop scalable processes, robust documentation, and efficient workflows to reduce customer time to value for technical integrations. You will champion the adoption and expansion of WRITER’s AI solutions within customer accounts to maximize impact and return on investment.

Salary: $131,800 - $185,000
Location: San Francisco, Chicago, Austin, or New York City, United States

Customer Engagement and Delivery Engineer

Own customer engagements end to end from qualified opportunity through technical validation, go live, and ongoing delivery across all customer segments. Build customer specific demos and proofs of concept using Liquid models including LEAP for fine tuning, domain adaptation, and evaluation to drive technical wins. Lead technical discovery by mapping current state customer architectures to Liquid solutions, driving competitive positioning against open source and incumbent models, and quantifying ROI for both cost optimization and new experience use cases. Co own the product field feedback loop by documenting friction patterns, evaluation failures, and capability gaps from engagements and partnering with product and research teams to influence the roadmap. Turn engagement learnings into reusable assets such as reference architectures, solution primitives, demo building blocks, engagement playbooks, and vertical specific solution patterns across Liquid’s priority industries.

AI Agent Solutions Delivery Engineer

Design and deploy AI solutions by working closely with customers to translate their challenges into functional agents, integrating APIs and data sources to automate real business processes. Prototype quickly, build the first version, get it into production, and refine based on real world feedback. Collaborate with customer teams across engineering, product, and operations to ensure the agent performs, scales, and delivers measurable outcomes. Own end to end delivery from discovery call to deployment, leading the technical build, testing, and iteration to ensure the experience feels natural, human, and on brand. Drive adoption and expansion by sharing results, training teams, and embedding within the customer organization to uncover new opportunities for automation and scale. Act as the face of Bland by being the customer’s champion, traveling on site, developing real relationships with customers and stakeholders, hosting training sessions and dinners, and providing unreasonable hospitality.

Technical POC and Discovery Engineer

Run technical discovery, design solutions, and lead POCs alongside Account Executives to close deals, then own onboarding to get customers to first value fast. Build and implement workflows within V7 Go; combining prompt engineering, data pipelines, and integrations to solve real customer problems across document processing and more. Act as the primary technical contact for accounts, handling complex challenges and spotting expansion opportunities as customers scale. Juggle up to 10 concurrent projects while feeding customer insights back to product and engineering.