Role Overview Accenture is looking for an exceptional Network Security Lead to join our Network Infrastructure Engineering practice. This is a senior individual contributor and client leadership role for someone who combines deep enterprise network security expertise with the commercial instinct and communication skills to win trust at the highest levels of a client organisation.

You will be the go to security authority within the network practice - the person clients call when they need to understand how to modernise their security architecture, navigate a compliance challenge, or respond to an evolving threat landscape. You will own relationships with a portfolio of blue chip enterprise clients, guiding them on their journey toward Zero Trust, SASE, and SSE adoption, while shaping and delivering the work that follows.

This role demands someone who is equally comfortable whiteboarding a ZTNA architecture with a room full of CCIEs, presenting a business case to a CISO, and rolling up their sleeves to produce the proposal, design, or deliverable that gets the deal done. Versatility is not optional - it is the role.

Key Responsibilities Client Relationship & Advisory

• Own and develop trusted senior relationships across a portfolio of blue chip enterprise clients, acting as their primary network security advisor within Accenture.
• Advise clients at CISO, CTO, and VP Infrastructure level on network security strategy, architecture modernisation, and risk posture improvement.
• Lead client workshops, discovery sessions, and executive briefings, facilitating complex technical and strategic conversations with confidence and clarity.
• Serve as a trusted thought partner as clients navigate regulatory compliance requirements, security frameworks (e.g. NIST, ISO 27001, NIS2, DORA), and evolving threat environments.
• Identify and shape new opportunities within existing accounts, recognising client challenges and translating them into well formed propositions.

Technical Leadership

• Provide authoritative guidance on enterprise network security architecture, with particular depth across:
  • SASE (Secure Access Service Edge) - architecture, vendor landscape, migration strategies
  • SSE (Security Service Edge) - SWG, CASB, DLP, RBI and integration patterns
  • ZTNA / Zero Trust - principles, frameworks, identity centric access, micro segmentation
  • Next Generation Firewall & IPS/IDS - policy design, segmentation, east west traffic control
  • Network Access Control (NAC/802.1X, Cisco ISE, Aruba ClearPass)
  • Secure SD WAN and the convergence of networking and security in modern enterprise WAN
  • Cloud Security Networking - VPC security, cloud native firewalling, private access patterns across AWS, Azure, and GCP
  • PKI, certificate management, and encryption standards at scale
• Stay ahead of the vendor landscape (Palo Alto Networks, Zscaler, Cisco, Fortinet, Cloudflare, Netskope, etc.), providing clients with impartial, outcome driven guidance.
• Act as a technical escalation point for the wider network engineering team on security related matters.
• Contribute to internal capability development, helping upskill the team on emerging security technologies and methodologies.

Proposals, Pursuits & Deliverables

• Lead the development of security proposals, RFP responses, and solution designs, from initial shaping through to final submission and presentation.
• Create high quality client facing deliverables - architecture documents, current state assessments, roadmaps, business cases, and executive presentations - to a standard that reflects Accenture’s positioning.
• Collaborate with sales and account teams to shape win strategies, define differentiated propositions, and structure commercial approaches that resonate with technical and business buyers alike.
• Be willing and able to personally produce deliverables where required - this is not a role that delegates everything downward. The ability to create compelling, polished outputs directly is essential.

AI Proficiency & Innovation

• Leverage AI tools and platforms (including generative AI) to accelerate the production of proposals, assessments, research, and client communications - demonstrating practical, day to day AI fluency.
• Advise clients on the security implications of AI adoption within their environments, including data exposure risks, access control considerations, and governance frameworks.
• Critically evaluate AI generated outputs, understanding where AI adds velocity and where human judgement and expertise remain essential - and communicate this distinction clearly to clients and colleagues.
• Champion the pragmatic use of AI within the network practice to improve team productivity and the quality of deliverables.

Qualification Required Experience & Qualifications Technical

• Extensive hands on and advisory experience across enterprise network security, with demonstrable depth in SASE, SSE, Zero Trust, and secure networking architectures.
• Strong understanding of enterprise networking fundamentals (routing, switching, SD WAN, WAN architecture) - able to engage credibly with network engineers, not just security practitioners.
• Experience designing or advising on large scale security transformation programmes in complex, multi site, or multi cloud enterprise environments.
• Familiarity with compliance and regulatory frameworks relevant to enterprise clients (NIS2, DORA, ISO 27001, PCI DSS, NIST CSF).
• Working knowledge of at least two or more leading security vendors at an architectural level (e.g. Palo Alto/Prisma, Zscaler, Cisco Umbrella/Duo, Fortinet, Netskope, Cloudflare).

Commercial & Communication

• Proven ability to write and present high quality proposals and technical documents to senior client audiences.
• Track record of owning client relationships in a consulting, vendor, or managed services context - with demonstrable examples of account growth and client satisfaction.
• Ability to command technically complex rooms - earning credibility with engineers through substance, not authority.
• Commercially aware, with an understanding of how to frame security investments in terms of risk, compliance, and business value rather than purely technical merit.
• Adaptable communication style - equally effective presenting to a CISO or a junior analyst, and able to read the room and adjust accordingly.

AI & Tools

• Actively proficient with AI assisted tools for content creation, research, and analysis (e.g. Microsoft Copilot, ChatGPT, Claude, or equivalent).
• Clear eyed understanding of the limitations and risks of AI generated output, particularly in technical and client facing contexts.

Qualifications

• Degree in Computer Science, Information Security, Engineering, or equivalent practical experience.
• One or more of the following certifications highly desirable:
  • CISSP, CISM, or CCSP
  • CCIE Security
  • Vendor certifications: Palo Alto PCNSE, Zscaler ZDTA/ZCCA, Cisco SCOR, Fortinet NSE 7/8
• Familiarity with SABSA, TOGAF, or equivalent security/enterprise architecture frameworks advantageous.

The Ideal Candidate You are not a pure architect who hands off to others, nor a pure account manager who relies on technical colleagues to fill the gaps. You occupy a rare middle ground - someone who has earned their stripes technically and subsequently developed the judgement, communication skills, and commercial instincts to lead at a strategic level.

You are energised by variety. One day you are presenting a Zero Trust roadmap to a financial services CISO; the next you are deep in a proposal for a global manufacturing client’s SASE migration; the following week you are in a workshop facilitating a threat modelling exercise with a team of network engineers. You do not just direct - you do.

You understand that AI is a tool, not a replacement for expertise, and you use it intelligently to move faster and produce better work - without compromising quality or accuracy.

Most importantly, you genuinely care about helping clients improve their security posture, meet their compliance obligations, and protect what matters most to their business.

What You Will Own

• Portfolio of blue chip enterprise accounts - Client Relationships
• SASE, SSE, ZTNA, Zero Trust strategy and architecture - Security Advisory
• End to end security bid leadership and content creation - Proposals & Pursuits
• Network security escalation point for the practice - Technical Authority
• Practical AI adoption within the team and client advisory - AI Enablement
• Regulatory alignment across client security programmes - Compliance Guidance

Equal Employment Opportunity Statement Accenture is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status . click apply for full job details

About the Role

Plus Power recruits outstanding energy industry professionals who are driven to develop, build and operate assets safely and reliably to decarbonize the power markets while growing their careers. Our team looks for data-driven and fact-based mindsets, engaging and collaborative behaviors, and personal growth-focused professionals.

We are seeking a Senior Platform Engineer to join our technology team, with a focus on backend systems, cloud-native platforms, and data infrastructure. This role is ideal for an engineer who comes from a data platform, backend, or analytics engineering background and has developed deep expertise operating those systems in AWS at scale. It is especially well suited for engineers who have built or operated data platforms and are looking for deeper ownership of the cloud and backend systems that power them.

You will work at the boundary between data platforms, application engineering, and cloud infrastructure, helping Plus Power build reliable, scalable systems that support asset operations, analytics, and power market participation. This is a hands on role with meaningful technical ownership: you will write production code, shape system architecture, and ensure the systems you build are observable, resilient, and operable in real world conditions. You will focus on bringing transparency, efficiency, and consistency to our cloud systems, ensuring secure and flexible deployment patterns, and advocating for best practices, all while contributing directly to business critical solutions.

In this role, your impact goes beyond ticket based support or reactive operations. You will lead and own solutions end to end, from design and implementation through deployment, monitoring, and ongoing evolution. You will be working across disciplines to continuously improve the platforms and systems our teams rely on.

Key Responsibilities Platform & Backend Engineering

• Design, build, and operate backend services, internal platforms, and shared infrastructure that enable data pipelines, analytics, and application workloads.
• Apply a strong focus on CI pipeline design, operational reliability, and cloud cost awareness as firstclass engineering concerns.
• Write high quality, maintainable, and testable production code, primarily in Python.
• Partner with application and data engineers to define service boundaries, APIs, data contracts, and operational requirements.
• Contribute to architectural decisions with an emphasis on long term maintainability, reliability, and clarity.

Cloud Native Systems Ownership

• Architect and operate AWS based, cloud native systems with an emphasis on reliability, security, performance, and cost efficiency.
• Own the full lifecycle of platform and service components, including design, implementation, deployment, observability, and incident response.
• Build and maintain Infrastructure as Code using Terraform to manage cloud assets and operational workflows.

Data Platform Enablement

• Enable and support data platforms, analytics systems, and ML adjacent workloads through reliable backend and platform services.
• Design systems that integrate with relational databases, object storage, and event driven data flows.
• Work closely with data engineers and analysts to ensure systems meet requirements for data correctness, availability, and performance.
• Set and evolve best practices for cloud based data management through platform design, automation, and standards.

Operational Excellence & Reliability

• Build and evolve CI/CD pipelines that test, validate, and deploy both application and infrastructure code.
• Establish and maintain observability standards using metrics, logs, and alerts.
• Participate in on call rotations and lead root cause analysis and long term system improvements following incidents.

Skills & Qualifications

• 5+ years of professional experience across platform engineering, backend engineering, data engineering, CloudOps, or SRE roles.
• Strong backend development experience, including building and operating production services or internal platforms.
• Prior experience on data platform, analytics, or ML infrastructure teams preferred.
• Significant hands on experience with AWS, including services such as VPC, IAM, EKS/ECS, RDS, S3, and related managed services.
• Familiarity with event driven architectures, messaging systems, or streaming data patterns preferred.
• Experience with Infrastructure as Code (Terraform and/or CloudFormation).
• Experience operating containerized workloads using Docker and Kubernetes in production environments.
• Solid understanding of CI/CD, Git based workflows, and automated testing.
• Strong operational mindset, including comfort owning production systems and participating in on call rotations.
• Experience building or evolving internal developer platforms or shared infrastructure services preferred.
• Experience working with relational databases and data intensive systems.
• Excellent written and verbal communication skills, with the ability to present complex technical information to diverse audiences.
• Demonstrated ability to work collaboratively and effectively in a cross functional environment with both technical and non technical team members who are geographically dispersed.
• Proven ability to stay connected and maintain communication across distributed teams in hybrid or remote settings.

Compensation, Location, and Benefits

Highly competitivetotal compensationfrom one of North America’s leading energy storage developers,ownersand operators. Flexible, work from home or hybrid work from Plus Power’s officesin San Francisco, Houston, Chicago, Seattle, New York, PalmBeachand Birmingham.

The expected salary range for this position begins at $150,000. We may ultimately pay more or less than the posted range based on several factors including, but not limited to relevant experience, skills, qualifications, geographic labor market, and other factors consistent with applicable law. This position is also eligible to participate in our annual bonus program.

Plus Power offers a competitive and comprehensive benefits program, unlimited vacation, flexible remote work, work from home stipend, educational assistance, parental leave, and a highly engaging company culture with opportunities for in person connection and learning and growth.

The deadline for applying to this role is April 28, 2026.

About the role

We’re looking for an experienced DevOps Engineer to join our Cloud Infra team at Synthesia. Cloud Infra is a group that enables our Product engineers to build, and deploy Synthesia state of the art technologies.

You can expect to work across cloud infrastructure, CI/CD pipelines, observability, and tooling, with autonomy to identify and fix bottlenecks in a fast moving AI company.

This is a hands on senior IC role (roughly level 5 scope). You’ll be joining a growing team that’s shifting from enablement to direct execution, and you’ll help shape how we scale our infrastructure over the next year.

What you’ll do

• Maintain and scale Kubernetes (EKS) clusters - managing workloads, deployments, and monitoring at production scale.
• Manage and evolve our AWS (and some GCP) cloud environments, balancing reliability, cost, and velocity.
• Own and improve our CI/CD systems (GitHub Actions on our self hosted AWS runners).
• Define and implement Infrastructure as Code using Terraform and Terragrunt.
• Strengthen observability via Datadog and enable teams to understand their systems in production.
• Collaborate with Product Engineers to deploy and monitor production services.
• Drive FinOps practices: vendor management, cost allocation, and financial feedback loops.
• Contribute to internal tooling, automation, and reporting platforms that improve developer experience.

You’ll thrive in this role if you have:

• Deep hands on DevOps / SRE / Platform experience in a SaaS or high traffic product environment.
• Strong Kubernetes experience - spinning up and managing clusters, not just consuming them.
• Proven AWS and/or GCP expertise.
• Proficiency with Terraform / Terragrunt, Linux, and Python scripting.
• Strong understanding of CI/CD design patterns.
• Experience with Datadog or similar observability tooling.
• Comfortable operating autonomously in ambiguous environments.
• A pragmatic mindset - focusing on scalable, maintainable solutions over theoretical perfection.
• A bias toward execution and written communication, especially in remote contexts.

Bonus points

• Familiarity with Temporal.io, or workflow orchestration frameworks.
• Light frontend or tooling development experience (React, Node.js).
• Previous work supporting AI research or data intensive environments.

Other important info

• This is a remote role from an EU country, UK or Switzerland or hybrid from one of our London, Munich, Copenhagen, or Zurich hubs.
• This is full time employment only - no contractors possible - usually through OysterHR or a local entity.
• We only sponsor visas if you are in the UK or some EU countries already.

About the Role

As an experienced Penetration Tester at Starling, you’ll be joining an established team, working with talented cyber security professionals to ensure our services are designed, developed and operated securely.

This is a collaborative role - you’ll directly interact with multiple areas of the business to understand requirements, conduct research, perform security testing, and report issues aligned to our risk framework.

Being an internal tester, you’ll gain a strong understanding of how technology works at Starling to enable in depth testing. You’ll also support remediation processes, seeing your findings lead to tangible security improvements.

We understand the importance of knowledge and expertise remaining current, so we’ll actively support your advancement through research and training. In turn, you’ll help us continuously improve our processes, methodologies and tools to maintain the highest standard of testing.

We’re open minded when it comes to hiring and we care more about aptitude and attitude than specific experience or qualifications.

Responsibilities

• Scoping and performing mobile, web application, cloud and infrastructure penetration tests.
• Collaborating with engineering teams to facilitate secure development, including:
  • Reviewing and analysing proposed technical solutions to identify appropriate security controls.
  • Conducting code reviews of features and critical security components.
  • Performing in depth practical security testing.
  • Advising on the remediation of security issues and identifying solutions to address root causes.
• Automating security testing and developing internal tooling to achieve continuous assurance.
• Identifying and implementing improvements to the team’s internal processes and procedures.
• Mentoring less experienced team members, leading by example in technical assessments, and promoting a collaborative approach to security across Starling.

Qualifications

• 5+ years technical information security experience.
• Experience in mobile, web application, cloud and infrastructure penetration testing.
• Technical knowledge - a good foundation in mobile security (iOS and Android), web application security, networking and associated protocols, cloud security (AWS and GCP), containers and Kubernetes.
• A desire to learn, and the ability to apply technical security knowledge to new and unfamiliar areas.
• Penetration testing qualifications (e.g. CREST Certified Tester, OSCP) or equivalent industry experience.
• Experience performing code reviews or code assisted testing, particularly in Java and Go.
• Experience in automation of security testing (e.g. using Python or Go).
• Excellent verbal and written communication skills.

Interview Process

• First stage with the Penetration Testing Team Lead.
• Second stage with additional members of the Penetration Testing team.
• Final stage with Infosec Director and CISO.

Benefits

• 25 days holiday (plus public holiday allowance).
• Extra day’s holiday for your birthday.
• Annual leave increased with length of service, and you can choose to buy or sell up to five extra days off.
• 16 hours paid volunteering time a year.
• Salary sacrifice, company enhanced pension scheme.
• Life insurance at 4 your salary & group income protection.
• Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr & Mrs Smith and Peloton.
• Generous family friendly policies.
• Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks.
• Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing.

Equal Opportunities

Starling is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.

About Marex

Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world’s major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 2,300 employees across Europe, Asia and the Americas.

Role Summary

As a Senior Developer specialising in C# .NET, you will be a pivotal member of our Software Development team, driving an AI first approach to the creation and enhancement of secure, responsive web based finance platforms. These platforms will modernise and extend core PeopleSoft finance capabilities, delivering improved usability, performance, and scalability through contemporary web technologies.

You will leverage modern AI assisted development tools and practices to accelerate delivery, improve code quality, and enhance developer productivity, while ensuring solutions meet the high standards of control, auditability, and reliability required within financial systems, including compliance with SOX (Sarbanes Oxley) requirements.

Your expertise in C# .NET, combined with your ability to apply AI driven techniques across the software development lifecycle, will be instrumental in delivering robust, scalable, and well governed applications. You will maintain a strong emphasis on testing, traceability, and deterministic system behaviour, ensuring that AI adoption enhances-rather than compromises-system integrity, auditability, and regulatory compliance.

In this role, you will apply your architectural experience to help mature our existing software estate, introducing intelligent automation where appropriate and transforming legacy PeopleSoft based functionality into cloud native, web first solutions. You will work closely with the platform engineering team to ensure seamless integration and deployment, while embedding AI enabled tooling and practices in a controlled, transparent, and compliant manner across the development lifecycle.

Responsibilities

• Design, develop, and test components of modern, secure web based finance applications, applying AI assisted development practices to improve quality and delivery speed
• Contribute to the overall architecture and design of technology solutions, incorporating AI enabled tooling and automation while ensuring control, transparency, and auditability
• Develop solutions to a high standard that are maintainable, testable, and aligned to acceptance criteria, with a strong emphasis on traceability and deterministic behaviour in regulated environments
• Adhere to development best practices and processes, including those required for SOX compliance (e.g. change control, segregation of duties, and auditability)
• Leverage AI tools responsibly across the software development lifecycle (e.g. code generation, testing, documentation), ensuring outputs are reviewed, validated, and compliant with engineering standards
• Communicate effectively with team members, contribute ideas, and stay current with emerging technologies, particularly in AI and modern engineering practices
• Liaise with business users to gather and refine application requirements, particularly in the context of modernising legacy finance platforms (e.g. PeopleSoft)
• Ensure delivered systems are production ready, secure, and well documented, supporting operational handover and ongoing audit requirements
• Follow coding standards and defined development processes, ensuring consistency, quality, and compliance across all deliverables
• Resolve third line support issues in a professional and timely manner, applying a structured and analytical approach to problem solving

Skills and Experience

Essential:

• Experience in C# .NET, React, JavaScript, TypeScript
• Experience leveraging AI assisted development tools (e.g. code generation, automated testing, developer productivity tooling) to improve delivery speed and quality
• Strong understanding of applying AI responsibly within the software development lifecycle, ensuring traceability, auditability, and control
• Experience of NoSQL or RDMS databases
• Infrastructure as Code, Terraform or equivalent
• Modern CI/CD and DevOps practices
• Cloud technology, ideally AWS (Amazon Web Services)
• Knowledge of BDD/TDD
• Agile and scrum development methodologies
• Methodical approach to software architecture and design and experience employing the right design choices for a given project
• Understanding of controls required in regulated environments, including SOX (Sarbanes Oxley), with a focus on auditability, segregation of duties, and change control
• Excellent verbal and written communication skills

Desirable:

• A collaborative team player, approachable, self efficient, and able to foster a positive engineering culture, including adoption of AI first practices
• Demonstrates curiosity, particularly in emerging technologies, AI capabilities, and continuous improvement of development practices
• Resilient in a challenging, fast paced, and regulated environment
• Excels at building relationships, networking, and influencing others across both technical and business teams
• Strategic collaborator with insight and agility, able to anticipate future challenges, including those related to scale, regulation, and technology evolution, ensuring operational effectiveness

Competencies

• Dynamic work ethic: ability to adapt to changing electronic trading environment and proactively learn new technologies
• Proactive and willingness to pick up issues
• Calm demeanour
• Excellent verbal and written communication skills
• A collaborative team player, approachable, self efficient and influences a positive work environment
• Demonstrates curiosity
• Resilient in a challenging, fast paced environment
• Excels at building relationships, networking and influencing others
• Strategic collaborator with insight and agility, able to anticipate future challenges, ensuring operational effectiveness

Legal and Equal Opportunity Statement

Marex is fully committed to the elimination of unlawful or unfair discrimination and values the differences that a diverse workforce brings to the company.

Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM first search engine and our specialized data sources. We aim to use the latest models as they are released, but the intelligence frontier is a jagged one, and popular benchmarks do not effectively cover our use cases. In this role, you will build specialized evals to improve answer quality across Perplexity, covering search based LLM answers and other scenarios popular with our users.

Responsibilities

• Architect and maintain automated evaluation pipelines to assess answer quality across Perplexity’s products, ensuring high standards for accuracy and helpfulness
• Design evaluation sets and methods specifically to measure the impact of tool calls (particularly web search retrieval) on the final answer’s quality
• Develop VLM based solutions to programmatically evaluate how final answers render visually across different platforms and devices
• Continuously review public benchmarks and academic evaluations for their applicability to the Perplexity product, adapting and incorporating them into our regular performance measurements
• Operate within a small, high impact team where your evaluation metrics directly shape product changes, collaborating closely with technical leadership to measure and improve Answer Quality

Qualifications

• PhD or MS in a technical field or equivalent experience
• 4+ years of experience in data science or machine learning
• Strong proficiency in Python and SQL (expected to write production grade code)
• Experience building within a modern cloud data stack, specifically AWS and Databricks
• Comfortable with agentic coding workflows and using AI assisted development tools to iterate faster

Preferred Qualifications

• 1+ years of experience working with LLMs at scale, specifically with LLM as a judge setups
• Prior experience working on customer facing web products or consumer apps, with real user traffic at scale
• A strong research background, with experience applying research methods to real world ML problems
• Experience defining evaluation metrics (e.g., factual consistency, hallucination rate, retrieval precision) and building ground truth datasets

DRW is a technology-driven, diversified principal trading firm. We trade our own capital at our own risk, across a broad range of asset classes, instruments and strategies, in financial markets around the world. As the markets have evolved over the past 30 years, so has DRW - maximizing opportunities to include real estate, cryptoassets and venture capital. With over 2000 employees and offices around the world, we work together to solve complex problems, challenge consensus and deliver meaningful results. It’s a place of high expectations, deep curiosity and thoughtful collaboration.

We are seeking a Senior Software Engineer to join our Unified Platform (UP) organization. UP consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision making and research, our platform simplifies implementing new ideas, enhancing our competitive edge.

As a Software Engineer on one of the Unified Platform teams, you’ll be part of a tight knit team of software engineers working closely with internal users (analysts, quants, traders) to develop innovative systems that enable research and trading. You’ll experiment with emerging technologies to process data at scale. You’ll wrestle a mountain of data into human understandable insights.

We care deeply about preserving a respectful and diverse team culture. We are a group of polyglots and technologists always seeking to find the right tool for each problem, even if that means learning something new or reviving something old. We value business impact and outcomes over process, and we make decisions based on data. We strive to adapt quickly as business priorities change.

What you’ll do in this role:

• Develop tools to enable the business to rapidly embrace new opportunities in global markets
• Partner closely with internal customers to understand their needs and build intuitive self service tools
• Develop software for large scale data acquisition, storage, accessibility, and visualization
• Work with a team to maintain and extend our global markets reach
• Learn about market microstructure, financial instruments, and markets in which DRW participates or wants to participate in

This could be a good fit if you:

• Are motivated to solve hard problems with deceptively simple solutions
• Think a lot about user experience and try to really understand end users’ jobs and pain points
• Think a lot about APIs, modular design and testing
• Love refactoring and keep trying until you find a better answer
• Enjoy making the “right way to do it” the path of least resistance
• Have made a random tool for yourself and then peers ask for it then other teams ask for it
• Are fiercely proud of your project’s reliability, performance and ease of maintenance
• Are excited to learn about financial markets, trading, etc.

What we need on the team:

• At least 2 3 years of platform level software development experience
• Strong computer science fundamentals; a degree in Computer Science or equivalent work experience
• Strong experience with Java, Python or any modern programming language
• Experience processing high volumes of data at scale
• Excellent analytical and problem solving skills
• Comfort working within a globally distributed team
• A background in some of the following a bonus:

• Java experience
• Python experience
• Ruby experience
• Big data technologies: Spark, Trino, Kafka
• Financial Markets experience
• SQL: Postgres, Oracle
• Cloud native deployments: AWS, Docker, Kubernetes
• Observability: Splunk, Prometheus, Grafana

Who We Are:

At Omaze, we give our community in the UK and Germany the chance to win luxury homes and other life-changing prizes - all while raising money for the causes they love.

Thanks to our Omaze Community, we’ve raised over £100 million for UK charities in just five years. That’s millions helping organisations like Age UK, the RSPCA, British Heart Foundation and Great Ormond Street Hospital Charity deliver life saving work.

And the best part? We’re only just getting started. Omaze is building a business and culture committed to growth and creating significant social impact on a global scale.

Why You’ll Love Working at Omaze:

• Growth: Omaze is one of the fastest growing companies in the world.
• Impact: Join a team of world changers dedicated to creating a ripple effect of good.
• Pioneering: Be part of something no one has done before.
• Culture: We work hard, grow together, and spread joy along the way.

About The Job

As a Senior Backend Engineer, you are experienced and excited about building innovative next generation social good platforms which empower nonprofits to do their world changing work. You are someone who cares about code quality and craft but also has an intrinsic motivation to deliver value to the customer and knows how to balance both. Ideally, you are an engineer who can demonstrate knowledge of various technologies and how those should be applied in multiple scenarios when designing features or systems.

The job requires good communication and organisational skills. You should be able to translate ideas and requirements into deliverable work units. You can collaborate with technical and non technical audiences and always strive to improve yourself and those around you. You believe everyone has something to contribute, value diversity and inclusion, and enjoy mentoring others to help them grow.

In this role, you “own” the technical quality, execution, and delivery of user stories.

What You’ll Be Doing

• Bring your engineering experience to collaborate with a close knit engineering team building social good platforms.
• Responsible for the writing and testing of code and infrastructure that produces the application.
• Work closely with members of your team to ensure design and implementation meet product needs.
• Help architect, design, and implement reusable, well tested software components.
• Proactively review the code of others, providing feedback on design and implementation choices.
• Collaborate with other engineers and subject matter experts early and often throughout development to ensure sound architecture design decisions, provide a delightful customer experience, and raise money for charities that impact the world.
• Follow code standards and best practices for their given platform.
• Work with Product Owners and UX Designers to ensure complete and proper implementation.
• Ensure the performance, security, integrity and resilience of the application.

About You

• Experience with our tech stack: Typescript, Node.js, DynamoDB, AWS Lambda, AWS API Gateway.
• Experience building and designing event driven applications
• Experience delivering major features and systems from concept to launch.
• Experience with unit and integration testing.
• Effective communicator in teams of technical and non technical individuals (product, marketing, subject matter experts, etc.).
• Engage engineers to support a culture of collaboration and inclusion through mentorship, respectful code review, and dedication to quality.
• You are excited to share and learn from your teammates about crafting fantastic experiences.
• You are passionate about voicing your opinions and can be humble in receiving feedback.
• You have a track record of trying and learning new things and are unafraid to learn through failure.

What’s In It For You

Generous stock options scheme

• Private medical and dental insurance
• 9% employer pension contributions, when you contribute at least 2%
• A personal learning and development budget each year to use on training courses, conferences and professional memberships
• Personal equipment budget to work from home
• Enhanced family leave policies
• Life assurance of 4x your salary

Extra information:

Location: Holborn, London

Office Policy: 3 days in person, 2 days at home each week

Our hiring process

Our hiring process may vary between roles, particularly for technical roles where we may incorporate a technical skills/based interview, but as standard you’ll have:

• Screening call with one of our in house Talent Leads
• First stage interview with the Hiring Manager
• On site second stage interview with key stakeholders - this could be other managers, peers or Senior team members.

On average, our hiring process takes around 1 2 weeks after your initial screening call.

London, England, United Kingdom. Corporate Functions.

At Apple, we build AI systems that define experiences for billions of people and we do it with an unwavering commitment to privacy, performance, and craft. The AI & Data Platforms (AiDP) team is seeking a Principal Machine Learning Engineer to lead the design, fine tuning, evaluation, and productionisation of large language models and generative internal AI systems at global scale. This is a deeply hands on, high impact role: you will work across the full model lifecycle, from reinforcement learning and upstream training through to deployment of standalone, customer facing products. The ideal candidate is equal parts researcher, engineer, and product builder. You bring authoritative depth in LLM customisation and alignment, a sharp instinct for performance and quality, and the ability to ship end to end AI powered products that meet Apple’s standard of excellence. If you thrive at the intersection of frontier model development, systems engineering, and product creation we want to hear from you.

Responsibilities

• Lead the end to end development and productionisation of LLM based systems, from upstream training and reinforcement learning (RLHF/RLAIF) through fine tuning, alignment, and deployment of standalone, globally scaled products
• Design and implement comprehensive LLM evaluation and benchmarking frameworks, assessing model quality, safety, bias, latency, and cost efficiency to inform model selection and customisation decisions
• Architect production inference infrastructure that meets Apple’s performance, privacy, and reliability standards at global scale, including model optimisation, quantisation, and efficient serving strategies
• Drive model customisation and adaptation strategies (prompt engineering, retrieval augmented generation, parameter efficient and full fine tuning) to deliver differentiated product experiences
• Build end to end AI powered products and features, taking full ownership from problem definition and prototyping through production release, working across Swift, Java, and Python codebases
• Establish engineering excellence across the ML development lifecycle, including robust testing, reproducibility, monitoring, documentation, and CI/CD for model and data pipelines
• Partner with research, product, design, and platform teams to translate emerging capabilities into scalable, user centric solutions - acting as a technical bridge between research innovation and product delivery
• Mentor and elevate ML engineers across the team, raising the bar on technical quality and fostering a culture of rigorous experimentation and engineering craft

Minimum Qualifications

• Extensive hands on Machine Learning engineering experience, with a demonstrable track record of shipping ML powered products at scale
• Deep, practical expertise in LLM fine tuning, alignment, and customisation - including reinforcement learning from human feedback (RLHF), parameter efficient fine tuning (LoRA, QLoRA), prompt optimisation and LLM evaluation and benchmarking strategies (accuracy, latency, safety, cost)
• Strong software engineering proficiency across Python, Swift, and Java, with the ability to contribute production quality code across Apple’s technology stack
• Experience building and operating enterprise grade ML pipelines (data preparation, distributed training, model optimisation, serving, and monitoring) in cloud (AWS, GCP, Azure) or on prem environments

Preferred Qualifications

• Demonstrated ability to deliver end to end AI products - from problem framing and experimentation through to globally deployed, production grade solutions
• Published papers in top conferences in ML/Statistics/Maths/compsci.
• Experience with pre training or continued pre training of large language models, including data curation, curriculum design, and training stability at scale
• Expertise in reinforcement learning techniques for model alignment (RLHF, RLAIF, DPO, PPO) and safety/red teaming methodologies
• Deep familiarity with advanced agentic frameworks and architectures (LangChain, LangGraph, DSPy, AutoGen, or equivalent), including multi agent orchestration and tool use
• Experience with multimodal AI systems (text, image, code, speech) and cross modal reasoning
• Track record of building and shipping standalone AI native products - not just features - with direct accountability for user impact and product quality
• Contributions to open source ML frameworks, published research, or patents in relevant areas
• Expertise in inference optimisation techniques: quantisation (GPTQ, AWQ), speculative decoding, KV cache optimisation, and hardware aware model compilation
• Strong data engineering instincts - comfort designing data pipelines, curating training datasets, and producing high quality aggregated datasets at scale
• Demonstrated technical leadership: setting architectural direction, driving cross team alignment, and mentoring senior engineers

At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law.

Company:

Apple Inc.

Level of experience (years):

Senior (5+ years of experience)

Tagged as:

Industry, Language Modeling, Machine Learning, NLP, United Kingdom

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA)

The Solutions Architect (Lakewatch) 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 (Lakewatch) is paired with an Account Executive aligned to the 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 customers make an informed decision as they decide to adopt the product line in a meaningful way.

The Lakewatch product line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer facing security solutions (of which 3+ years are in a customer facing, pre sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection as code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment.
• Collaborate with GTM leadership and account teams to design and execute high impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• 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 security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer facing, pre sales or consulting role influencing technical executives, driving high level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third party consulting organizations to drive customer outcomes in cybersecurity.
• Hands on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

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.

Job Title: Full Stack Engineer

Salary: £60k-£80k + Equity

Location: Cambridge, UK

Company Description: Lichen AI - Early stage agentic platform for AI discovery

Job Description: As the first full time engineer, you will transform a working prototype into a production grade enterprise SaaS. You’ll build robust backends, design intuitive interfaces for complex AI outputs, and establish foundational engineering practices. Working directly with an expert founding team, you will ensure the platform is secure, reliable, and ready for global enterprise customers.

Why this role is remarkable

• Join as the first founding engineer with a significant equity stake and a clear path to technical leadership as the company scales.
• Work alongside a world class founding team including the former Chair of the UK Government’s AI Council and Amazon Alexa’s speech recognition lead.
• Build a mission driven platform that uses agentic AI to amplify human insight rather than replacing it, solving a critical adoption gap for enterprise clients.

Responsibilities

• Transition a high potential prototype to a production grade platform by building secure, scalable backend systems and automated deployment pipelines.
• Lead the end to end development of the user interface, making complex AI generated insights legible and actionable for non technical business users.
• Implement enterprise grade security and compliance standards including ISO 27001 and GDPR to ensure safe handling of sensitive client data.

The ideal candidate

• Has 3 8 years of experience shipping production web applications using modern JavaScript/TypeScript (React) and Python (FastAPI).
• Demonstrates strong proficiency in cloud infrastructure, specifically AWS, and designing robust database structures and data pipelines.
• Thrives in a small, fast paced startup environment and possesses a genuine interest in human centered AI that enhances domain expertise.

Job Title

Backend Software Engineer (£80k)

Salary

Up to £80k

Company Description

InTouchNow.ai - Award-winning healthcare technology company building AI voice agents for the NHS.

Job Description

Join a high-impact team building AI-powered voice agents that automate patient triage and bookings for over 100 GP practices. You will own core backend infrastructure, designing scalable services for real-time telephony and orchestrating complex AI workflows. Your work directly reduces NHS wait times and improves healthcare access for millions of patients.

Location

Borehamwood, UK

Why this role is remarkable

• Work on a Class I Medical Device that is already live in over 100 clinics and scaling rapidly following recent funding.
• Solve complex technical challenges in real-time voice streaming and 200+ language translations for high-concurrency healthcare environments.
• Take significant ownership of core architecture in a small, fast-paced team where your code has immediate, life-improving impact on patient access.

What you will do

• Design and build scalable Node.js services for real-time voice AI and event-driven telephony workflows.
• Develop deep integrations with critical NHS clinical systems such as EMIS and SystmOne to automate administrative tasks.
• Architect and optimize AWS-based infrastructure to handle hundreds of concurrent patient interactions with minimal latency.

The ideal candidate

• 5+ years of experience building production-grade backend systems using Node.js and distributed architectures.
• Demonstrates strong proficiency with event-driven systems, WebSockets, and cloud platforms (preferably AWS).
• Enjoys solving complex scalability challenges and owning systems end-to-end within a fast-moving, regulated environment.

About hyperexponential (hx)

At hyperexponential, we’re building the AI-powered platform that enables the world’s most critical decisions in a $7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms.

Until now, insurance has been making billion-dollar decisions using outdated tools. We’re changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence.

Backed by a16z, Highland Europe, and Battery Ventures, we’re scaling globally - already trusted by nearly 50 of the world’s largest insurers, with zero churn and billions in premiums flowing through hx.

What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world’s first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates.

What makes hx different is the people who build it. Here, impact isn’t tied to title or tenure; it’s defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you’ll do the best, hardest work of your life in a company engineered to endure.

If that sounds like you, join us in building what comes next.

About the Analytics team

Engineering at hx drives every breakthrough that transforms how insurers make billion-dollar decisions. Our Analytics team sits at the cutting edge of this mission, building the data systems that unlock the full value of complex insurance datasets. We’re turning raw portfolio data into actionable insights that help underwriters and actuaries make smarter, faster decisions on risks worth billions.

As a Senior Backend Engineer in the Analytics team, you’ll architect and build the foundational data systems that power next-generation insurance analytics. This is greenfield territory - you’ll be designing distributed data solutions from the ground up, creating scalable ingestion pipelines, and building the infrastructure that turns complex insurance data into competitive advantage for our customers.

You’ll work at the intersection of complex engineering challenges and real business impact, collaborating with sharp product and UX minds to create data-driven experiences that fundamentally change how insurers understand and optimise their risk portfolios. If you love solving hard technical problems while seeing direct customer impact, this is where you’ll thrive.

What You’ll Be Doing

• Build scalable data systems in Kotlin that enable insurers to ingest, process, and explore complex datasets, turning months of manual analysis into real-time insights that drive billion-dollar risk decisions.
• Design distributed analytics infrastructure on AWS using Terraform, creating robust, cloud native systems that handle enterprise scale data volumes while maintaining reliability and performance.
• Deliver customer facing analytics features that transform how users understand and optimise risk modelling, building intuitive interfaces for complex portfolio analytics that were previously impossible.
• Drive technical innovation in data architecture, piloting emerging technologies and AI/ML approaches that continuously improve the analytics experience and unlock new capabilities for customers.
• Collaborate across disciplines with Product, UX, and Engineering teams to translate complex business requirements into elegant technical solutions that balance powerful functionality with usability.
• Elevate system quality through robust architecture decisions, comprehensive testing, and clear documentation that makes complex data systems maintainable and scalable as the team grows.

What You’ll Need to Have Done

• Built production backend systems with proven experience as a polyglot engineer, ideally with strong Kotlin skills and the ability to work effectively across multiple languages and tech stacks.
• Delivered scalable cloud infrastructure using AWS and infrastructure as code tools like Terraform, with hands on experience building distributed systems that handle real world data volumes.
• Developed data warehousing solutions with hands on experience building ETL pipelines, data modelling, and orchestration workflows using modern tools (e.g., dbt, Airflow, Spark), demonstrating the ability to transform raw data into reliable, performant analytics infrastructure that supports business decision making at scale.
• Collaborated effectively across teams to deliver features that customers actually use, with evidence of translating business requirements into technical solutions that drive measurable impact.
• Maintained high code quality standards with a commitment to clean, well documented, maintainable systems and the discipline to build infrastructure that scales with business growth.
• Demonstrated curiosity about emerging technologies, particularly around data processing, analytics platforms, and AI/ML tools that can enhance developer productivity and unlock new customer value.

You’re Unlikely To Thrive Here If

• You prefer working with well established data systems rather than building foundational analytics infrastructure from scratch in a rapidly evolving environment.
• You’re more comfortable focusing on purely technical challenges than understanding the business context and customer impact of the data systems you’re building.
• You’re not excited by the complexity that comes with distributed data processing, enterprise scale systems, and the technical depth required for analytics platforms.

Reading our Culture Document leaves you feeling neutral rather than energised, hx may not be the place where you’ll do your best work. We’re building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us.

Compensation

At hx, we’re committed to salary transparency. You’ll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we’re working towards publishing salary information for all roles globally.

Because we’re building at the intersection of technology/SaaS and insurance, our roles don’t always map neatly onto traditional benchmarks. Our approach is to design compensation that’s competitive in the market, fair across teams, and aligned with the impact our people make.

Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your talent partner will be able to share more details about this.

Benefits

• £5,000 training and conference budget for individual and group development.
• 25 days of holiday plus 8 bank holidays (33 days total).
• Company pension scheme via Penfold.
• Mental health support and therapy via Spectrum.life.
• Individual wellbeing allowance via Juno.
• Private healthcare insurance through AXA.
• Income protection and Life Insurance.
• Cycle to Work Scheme

Additional Perks

• Top-spec equipment (laptop, screens, adjustable desks, etc.).
• Regular remote and in person hackathons, lunch and learns, socials, and game nights.
• Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Ministry.
• Exceptional opportunities for personal development and growth as we build something remarkable together.

Interview Process

1. Initial call with our Talent team to kick things off (30 minutes)
2. Manager Interview (60 minutes)
3. Technical Interview - Code Review & AI Pairing (120 minutes)
4. Values Interview (60 minutes)
5. We offer!

Our Commitment to Diversity

hxer’s are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive.

Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure. If you’re energised by complexity and motivated to grow, we encourage you to apply and join our global team.

Next Steps:

If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome.

For more information about applying and to view other opportunities, you can visit our careers page.

Please note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.

Senior Java/AWS Engineer - Regulatory Reporting (Financial Services)

London (Hybrid) Permanent

We’re hiring a Server-Side Java/AWS Engineer to join a global investment management firm’s regulatory reporting team. This is a great opportunity to work on business-critical systems that support transaction reporting across EMEA/APAC.

What you’ll do:

• Build scalable microservices using Java (Spring Boot) on AWS
• Develop RESTful APIs and cloud-native solutions
• Work on regulatory reporting platforms with real business impact
• Collaborate closely with product and business teams

Tech stack:

Java (17+), Spring Boot, AWS (Lambda, S3, DynamoDB), REST APIs, Graph QL, Python (nice to have), CI/CD

What we’re looking for:

• Strong backend engineering experience (Java + AWS)
• Microservices and API design expertise
• Exposure to financial services or regulatory environments (preferred)

High visibility role, strong engineering culture, and opportunity to work on large-scale, mission-critical systems.

EBSA - IDAM DevOps HO - SFIA 4/5

Rate 650 - 700

Clearance required: Security Clearance (SC) required NPPV3 eligible

Nationality requirement: Single National

Location: London

Sector: Public

Job Description:

Position

Senior DevOps Engineer - Kubernetes & OpenLDAP

Security Clearance (SC) required NPPV3 eligible

Role Summary

Highly experienced DevOps engineer with deep expertise in Kubernetes platform engineering and OpenLDAP integration, operating at senior level. Responsible for designing, implementing, and leading secure, scalable containerised platforms within a regulated environment. Provides hands on technical leadership while managing a small DevOps team delivering test focused CI/CD capabilities.

Core Expertise (Heavy)

Kubernetes (Platform Engineering & Operations)

• Cluster design, provisioning, upgrade and lifecycle management
• RBAC, network policies, pod security standards
• Ingress controllers, service mesh integration
• Multi-environment strategy (Dev/Test/Prod)
• Troubleshooting complex production issues
• Helm/Kustomize-based deployments
• Performance tuning and resilience engineering

OpenLDAP (Enterprise Identity Integration)

• Installation, configuration and hardening of OpenLDAP
• Schema design and directory structuring
• Secure authentication integration (LDAPS, certificates, RBAC mapping)
• Kubernetes authentication via LDAP
• Identity federation patterns across CI/CD tooling
• High availability and replication strategies
• Troubleshooting directory performance and sync issues

Jenkins (CI/CD Architecture & Engineering)

• Pipeline-as-code (Groovy)
• Shared libraries and pipeline governance
• Integration with Kubernetes agents
• Secure credential management
• Test automation integration
• Release orchestration

Strong Working Knowledge (Moderate)

• Docker - image optimisation, multi stage builds, secure base images
• Python - automation, scripting, infrastructure tooling

Working Knowledge (Light)

• AWS - IAM, networking concepts, container services
• Terraform - infrastructure as code principles, module consumption

Team Leadership

• Accountability for individual engineer performance, development and delivery
• Regular performance feedback and coaching
• Skills development and knowledge uplift within the team

Delivery & Governance

• Point of contact for DevOps related requests
• Assist the tech lead with technical design authority for incoming work
• Oversight and governance of production releases
• Ensuring secure delivery aligned to SC cleared environment requirements

Key Characteristics

• Operates independently within defined frameworks (SFIA Level 4)
• Provides technical leadership and direction
• Makes informed decisions in complex secure environments
• Strong stakeholder communication skills
• Security first mindset suitable for government / regulated environments

This role requires additional vetting, which means this position may take longer than the usual onboarding process. Please do not hesitate to get in touch if you have any queries.

This company is developing an AWS-based platform to securely share medical diagnostics between clinicians and researchers worldwide, and enable online characterisation and measurements from scan images. This will feed into a better understanding of disease processes and ultimately better treatments for patients.

The back end of their technology stack comprises Java-based microservices running on AWS. Data security and integrity is of paramount importance, and the solution needs to be compliant with healthcare industry software standards - we are therefore keen to hear from applicants with relevant experience in healthcare technology.

Success in this senior role calls for excellent software development skills in Java (or a closely related OO language), and a strong understanding of AWS is essential. You will also need excellent communication and collaboration skills, and be proactive in understanding the needs of stakeholders and how their underlying needs feed into the software requirements.

Qualifications and Experience

• A solid academic background with a degree in Computer Science, or a similar subject.
• Substantial commercial software engineering experience and familiarity with Agile development processes, CI/CD, and software testing strategies.
• Strong coding skills, ideally in Java, a good understanding of the AWS ecosystem, and careful attention to writing high quality code.
• Full, existing, and unrestricted right to work in the UK without the need for sponsorship either now or in future.

Nice to Haves

• Docker, Kubernetes, Infrastructure-as-code, DynamoDB, Spring Boot, Gradle.
• Experience working under software engineering standards for healthcare such as ISO14385.

This is a mostly remote role, with occasional days on site at the company’s offices in London. You will therefore need to be based in the UK within a convenient travel distance.

This role has a positive and tangible real-world impact, and you will be working with a friendly mission driven team motivated to accelerate medical research for the benefit of patients. An excellent salary, options scheme, and benefits package are on offer to the successful candidate.

Contract Comgent United Kingdom

Posted On 04/18/2026

Job Information

Standard Business working Hours Yes

Work Experience 8-10

City London

State/Province City of London

N/A

Special Considerations

We are committed to building an inclusive workplace and encourage applications from women and other under-represented groups in tech. All qualified candidates are welcome.

Start date: May/ June 2026

Location: London, UK (Hybrid - minimum 2 days per week in office)

Job Description

Reports to Head of Data Centre and Network Services.

A highly skilled Senior Network Hosting Architect with extensive experience designing, delivering, and optimising large-scale enterprise, internet-facing, cloud, and market-data-driven hosting environments.

This role is accountable for shaping end-to-end hosting network architectures supporting internal enterprise workloads, external internet services, regulated payment platforms, and real time market data distribution, ensuring resilience, security, scalability, and operational excellence in performance critical and regulated environments.

• deep expertise across traditional networking, multi cloud connectivity, low latency market data platforms, payment systems, and SaaS integrated infrastructure.
• strong architectural leadership, stakeholder engagement, and structured delivery capabilities are essential, with the ability to influence both technical teams and senior business leadership.

The ideal candidate is proactive, able to be detail orientated when required, and comfortable operating in regulated environments.

Requirements Hosting Network Architecture & Strategy

Lead the architecture of secure, scalable, and resilient network hosting platforms across:

• On premise data centres and colocation
• Hybrid and multi cloud platforms (AWS, Azure, GCP/GSP, Oracle Cloud)
• SaaS integrated services (e.g. Microsoft 365, infrastructure SaaS platforms)

Define hosting strategies supporting market data platforms, payment systems, enterprise applications, and customer facing internet services.

Develop multi year network hosting roadmaps aligned to business growth, regulatory expectations, and technology evolution.

Technical Governance & Engineering Leadership

Act as the senior technical authority for complex hosting, connectivity, and L2-L7 network challenges across enterprise, internet, and SaaS integrated environments.

Own architectural governance for market data, payment platform, and cloud hosting designs, ensuring compliance with internal standards and external regulation.

Provide design assurance for secure inbound/outbound internet connectivity, DDoS protected architectures, and Zero Trust access models.

Cloud, SaaS & Internet Connectivity

Architect and operate cloud networking across:

• AWS, Azure, Google Cloud / GSP, and Oracle Cloud
• Hybrid connectivity using ExpressRoute, Direct Connect, Partner Interconnect, and equivalent services

Design resilient connectivity models for Microsoft 365 and key infrastructure SaaS services, including identity aware routing, secure egress, and performance optimisation.

Define internet hosting patterns covering DMZs, ingress/egress, load balancing, DNS, CDN integration, and secure access.

Market Data & Low Latency Platforms

Architect, optimise, and support market data hosting environments including:

• Bloomberg, Reuters, and other exchange / data vendor platforms
• Low latency multicast and unicast distribution
• Cross connects within colocation and exchange venues

Design deterministic, high availability network paths for latency sensitive trading and analytics workloads.

Partner with vendors and internal platform teams to ensure performance, resilience, and change control for market data services.

Payment Systems & Regulated Hosting

Design hosting network architectures for payment systems and transactional platforms, ensuring:

• High availability and fault tolerance
• Secure segmentation and encryption
• Compliance with financial and regulatory requirements

Support connectivity to payment gateways, clearing systems, and third party providers, including resilience testing and failure scenarios.

Project & Transformation Delivery

Lead major hosting and network transformation initiatives, including:

• Data centre and ACI modernisation
• Cloud and SaaS adoption
• Internet hosting and perimeter redesign
• Market data and payment platform migrations

Drive structured planning, risk management, stakeholder coordination, and controlled delivery.

Operations Excellence & Automation

Champion continuous optimisation across performance, capacity, routing efficiency, internet ingress/egress, and cloud cost efficiency.

Lead resolution of high severity incidents across enterprise, market data, payment, and internet facing platforms.

Implement automation, observability, and tooling using Infrastructure as Code and API driven platforms.

Act as the technical interface with:

• SaaS providers (e.g. Microsoft 365)
• Telcos, ISPs, exchanges, and market data vendors (Bloomberg, Reuters)

Review and influence technical solutions, SLAs, contracts, and support models.

Provide clear architectural updates and risk assessments to senior stakeholders.

Security, Resilience & Compliance

Embed Zero Trust, segmentation, encryption, and secure connectivity across hosting platforms.

Ensure internet facing, cloud, market data, and payment environments meet regulatory, audit, and operational resilience standards.

Maintain high quality architecture artefacts, runbooks, and audit evidence.

Qualifications, Skills, and Experience

• 8-12+ years in network engineering and hosting architecture, with senior or lead responsibility.
• Deep knowledge across L2-L7 enterprise, internet, and cloud networking.
• Payment systems and regulated transactional environments.
• Internet facing services and SaaS integration.
• Proven multi cloud expertise across AWS, Azure, GCP/GSP, and Oracle Cloud.
• Experience supporting Microsoft 365 and infrastructure SaaS connectivity models.
• Advanced routing (BGP, OSPF), low latency design, multicast, and high availability patterns.
• Comfortable operating in regulated financial services environments with audit ready practices.
• Architectural rigor: ensures all designs follow structured governance, secure patterns, and best practice frameworks.
• Cross Team influence: communicates technical concepts clearly to cybersecurity, infrastructure, and business stakeholders.
• Operational excellence: drives stability, repeatability, and continuous improvement in security operations.
• Innovation & forward thinking: identifies emerging threats, technologies, and solutions relevant to enterprise environments.

Role Purpose

Deliver high quality Java based services and cloud hosted solutions on AWS. Contribute to design, development, testing, and optimisation of digital applications while following established engineering standards. Support senior engineers, collaborate with multidisciplinary teams, and ensure services are secure, maintainable, and aligned to DDaT delivery principles.

Key Responsibilities Software Development

• Develop Java microservices using Spring Boot and modern engineering practices.
• Implement RESTful APIs, service integrations, and reusable components.
• Write clean, maintainable, well tested code following established coding standards.

Cloud Engineering (AWS)

• Build and deploy cloud native solutions using core AWS services (e.g., Lambda, ECS, API Gateway, DynamoDB, S3, RDS).
• Contribute to cloud architecture discussions and implement best practices for security, scalability, and observability.

Quality Engineering

• Write automated unit, integration, and functional tests.
• Contribute to code reviews, defect resolution, and performance improvements.
• Support continuous integration and continuous deployment activities.

Technical Collaboration

• Work with senior developers, DevOps engineers, QA and Product teams to deliver secure and reliable services.
• Participate in Agile ceremonies (stand ups, planning, refinement, retros).
• Provide technical input into design decisions and documentation.

Operational Support

• Support environments, deployments, and troubleshooting.
• Help maintain service stability using monitoring and logging tools.

Essential Skills (Must Have)

• Strong Java development experience, preferred Java 17+.
• Experience with Spring Boot, REST APIs, and microservice architectures.
• Hands on exposure to AWS services in real delivery environments.
• Knowledge of CI/CD tools (GitHub Actions, Jenkins, GitLab CI, etc.).
• Good understanding of testing practices (JUnit, Mockito, integration tests).
• Familiarity with containerisation (Docker) and basic cloud networking concepts.
• Strong problem solving skills and ability to work independently within guidelines.

Desirable Skills (Nice to Have)

• Infrastructure as Code experience (Terraform, AWS CDK, CloudFormation).
• Exposure to event driven systems (Kafka, SNS/SQS, Kinesis).
• Experience with monitoring/observability tools (ELK, CloudWatch, Grafana, OpenTelemetry, Splunk).
• Familiarity with security best practices and OWASP principles.
• Experience working on public sector or regulated projects.

Experience Profile

• Practical experience delivering Java services in a cloud or microservices environment.
• Demonstrated contributions to Agile teams (Scrum/Kanban).
• Experience supporting CI/CD pipelines and DevOps practices.
• Exposure to collaborative delivery with Product, QA, DevOps and Architecture teams.

Ways of Working

• Works under general direction; receives guidance on complex tasks but handles routine work independently (aligned with SFIA Level 4 expectations).
• Actively contributes to knowledge sharing, documentation, and continuous improvement.
• Communicates clearly with technical and non technical colleagues.

Location & Security

UK based, hybrid working as agreed with the client; BPSS or SC clearance may be required.

Job Location: GBR Ipswich - Adhara Building, GBR-London-BTHQ One Braham

Advertised Salary: Competitive + great benefits

Posting Date: 13/04/2026

Function: Data & AI

Location: Ipswich or London

Working Style: Hybrid (3 days a week in office, 2 days from anywhere)

About the role

We are renowned for designing and running the best operational teams in the industry. We support some of the biggest brands in the UK across both mobile and fixed networks and we invest heavily in our people and technology to make sure our customers get the best experience.

It’s in our culture to evolve and become better. With the emergence of AI, we are keen to embrace the technology and understand the art of the possible.

We are hiring a Data & AI Specialist responsible for designing and implementing a Data Strategy that will underpin our AI & Automation strategy in Network Operations. Data & AI sits at the heart of our transformation journey within the Network Operations team. By focusing on Data & AI, this role will be pivotal in driving our shift towards the next generation of operations teams.

The work involves delivering sophisticated data, Machine Learning (ML) and AI models in collaboration with our tooling teams to develop cutting edge automation. This will enhance the efficiency and reliability of our Network Operations and enable us to proactively address issues, optimise performance, and deliver superior service to our customers. Your contributions will be instrumental in creating a smarter, more responsive network that leverages the power of Data & AI to stay ahead in a rapidly evolving technological landscape. This will enhance customer experience, provide business value, and help us remain competitive.

As part of our transformation team, you will offer insights and expertise on Data & AI, ensuring alignment with business objectives. The team values are curiosity, transparency, and continuous improvement, which support strong stakeholder relationships.

This role offers opportunities to explore cutting edge technologies, develop skills, innovate, and advance your career.

What you’ll be doing

• Leads the modelling and analysis of big data through the application of Data Science & AI techniques to generate insight from data to support decision making that underpins our automation and AI strategy within Network Operations.
• Working with Network Operations Transformation team to develop and support our Data & AI workstream to implement AI driven network automation.
• Provide expertise and guidance to tooling team in planning Data and AI projects from concept to implementation.
• Acting as a transformation partner for initiatives involving data automation, AI/ML applications, and advanced analytics capabilities.
• Collaborate with cross functional teams to ensure Data & AI solutions align with business needs and quality standards.
• Lead the continual improvement of our Data & AI solutions, i.e. process improvements / operational monitoring / automation opportunities / security.
• Contribute to upkeep of our strategic data platform architecture, the data engineering community and associated standards.
• Continuously develop and share knowledge on emerging trends and changes in data science & AI.
• Using Data Science: Provide data science expertise, identify trends and share business insights across the team.
• Experience applying data analysis, modelling, and engineering practices to complex data sets.
• Data & AI: Expertise in how data is stored, extracted, correlated and visualised. An understanding of how AI and automation can utilise the data layer. Understand what is required across the whole project life cycle to make data and AI projects successful.
• Technical Expert: Drive or contribute to model development, including data exploration, training data, feature extraction, validation and scoring.
• Knowledge or experience in coding skills relevant to data manipulation (e.g. PL/SQL, Python, R).
• Strong understanding of data platforms, architecture, and tooling at a high level (you don’t need to be a data engineer, but someone who can partner credibly with them).
• Be agile: Lead collaborative and agile ways of working through projects and programs effectively managing changing priorities.
• Ability to adapt and respond to evolving technologies, tools, and business demands within a fast moving data landscape.
• Clear communicator with the ability to present insights, assumptions, and limitations to both technical and non technical audiences, and to influence decision making.
• Experience working collaboratively within multi disciplinary data teams, contributing to shared standards, peer review, and technical direction.
• Business acumen: Knowledgeable in business strategy and the drivers of organisational performance, including people drivers of performance and financial literacy (e.g. business KPIs, business cases).
• Enthusiastic about learning and applying new technologies (growth mindset).
• Ability to build new solutions and support our data solutions/products.
• Knowledge of automation frameworks and CI/CD for data products/models.
• Experience with tooling such as Jupyter and Ab Initio.
• Aware of LLM platforms (AWS Bedrock, OpenAI, Hugging Face), prompt engineering, distributed data systems (Kafka, Apache Pulsar), columnar databases (ClickHouse, Druid), and ETL/ELT tools.

Our Package

• 10% on target annual bonus
• Access to an online private GP 24/7 for you and your immediate family
• Market-leading paid carers leave with up to 2 weeks off
• Equalised maternity, paternity, and adoption leave - 18 weeks’ full pay and 8 weeks’ half pay
• Discounted EE and BT products, including mobile and broadband
• Market leading Pension scheme - 5% from you and 10% from us
• Holiday purchase scheme

The Role

As a Software Architect / Solutions Architect at Air Apps, you will be responsible for defining and overseeing the overall system architecture for our AI-powered platform. You will collaborate with engineering teams, product managers, and stakeholders to design scalable, secure, and high-performing solutions that align with business objectives.

You will play a key role in shaping our technology strategy, evaluating new tools and frameworks, and ensuring best practices in software design, cloud infrastructure, and system integration.

• This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.

Responsibilities

• Define and maintain the overall architecture and system design for scalable and efficient software solutions.
• Provide technical leadership to engineering teams, guiding them in best practices for architecture, coding, and system scalability.
• Design and document high-level system diagrams, data flows, and API structures.
• Evaluate and recommend technologies, frameworks, and cloud services to optimize performance, security, and cost-efficiency.
• Ensure high availability, fault tolerance, and security in all architectural decisions.
• Oversee system integrations, including microservices, APIs, and third-party services.
• Work closely with DevOps and SRE teams to ensure smooth deployment and operational reliability.
• Establish coding and architecture standards, ensuring maintainability and scalability of codebases.
• Identify and mitigate technical risks, ensuring system resilience and future scalability.
• Conduct architecture reviews and performance audits to continuously improve system efficiency.

Requirements

• Around 6+ years of experience in software development and architecture.
• Strong expertise in system design, cloud computing, and microservices architecture.
• Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and cloud-native architectures.
• Proficiency in backend technologies (e.g., Node.js, Python, Java, .NET) and experience with modern frontend frameworks (e.g., React, Angular, Vue).
• Knowledge of databases (SQL and NoSQL), caching strategies, and data pipelines.
• Experience with event-driven architectures, API design, and containerization (Docker, Kubernetes).
• Strong understanding of security best practices, identity management, and encryption techniques.
• Ability to evaluate trade-offs in architectural decisions, balancing scalability, cost, and complexity.
• Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform, CloudFormation).
• Strong communication skills, with the ability to explain complex architectural concepts to technical and non-technical stakeholders.

What benefits are we offering?

• Apple hardware ecosystem for work.
• Annual Bonus
• Top-tier Health and Life Insurance for peace of mind.
• Transportation Budget to support your commute needs.
• Coverflex benefits package for meal allowances, well-being, and more.
• Childcare support.
• Air Conference - an opportunity to meet the team, collaborate, and grow together.
• Pension Fund to support your long-term financial planning.
• Urban Sports Club membership to keep you active.
• Meals 100% free at the hub.

Diversity & Inclusion

At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.

About Air Apps

At Air Apps, we believe in thinking bigger-and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018-and now with offices in both Lisbon and San Francisco-we’ve remained self-funded while reaching over 100 million downloads worldwide.

Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.

Join us on this journey to redefine resource management-and change lives along the way.

The Role

As a Backend Software Engineer, you will be responsible for designing, building, and maintaining the server-side components of our applications. You will collaborate closely with product managers, frontend developers, and other cross-functional teams to deliver robust and scalable backend services that power critical features and support rapid growth.

• This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.

Responsibilities

• API & Service Architecture - Design and build RESTful or GraphQL APIs, microservices, and business logic using Node.js and TypeScript.
• Database Design & Integration - Model data and manage queries using Supabase and PostgreSQL, including functions, row-level security, and real-time features.
• Cloud Infrastructure - Deploy and manage services on Google Cloud Platform (GCP), particularly with Cloud Run, Cloud Functions, IAM, and Pub/Sub.
• Code Quality & Testing - Write clean, testable code using unit, integration, and end-to-end testing frameworks (e.g., Jest). Contribute to code reviews and quality assurance practices.
• Security & Reliability - Implement secure-by-default solutions for authentication, authorization, and data protection, following Clean Code and Clean Architecture principles.
• Monitoring & Operations - Set up logging, monitoring, and alerting for backend services. Own incident response and uptime improvements.
• Team Collaboration - Participate in architecture discussions, mentor team members, and document your decisions and systems for internal knowledge sharing.

Requirements

• 5+ years in backend engineering roles;
• Proficiency in Node.js and TypeScript;
• Strong experience with Supabase or equivalent PostgreSQL-based backend services;
• Hands-on experience with cloud platforms (e.g., GCP, AWS, Azure), including deploying and managing services using serverless compute (e.g., Cloud Run, AWS Lambda, Azure Functions);
• Solid knowledge of Clean Code and Clean Architecture practices;
• Experience with API design (REST) and cloud-native application development;
• Familiarity with CI/CD pipelines, testing tools, and Git workflows;
• Strong grasp of security principles, data protection, and compliance best practices;
• Effective communicator and proactive team contributor;

What benefits are we offering?

• Apple hardware ecosystem for work.
• Annual Bonus
• Top-tier Health and Life Insurance for peace of mind.
• Transportation Budget to support your commute needs.
• Coverflex benefits package for meal allowances, well-being, and more.
• Childcare support.
• Air Conference - an opportunity to meet the team, collaborate, and grow together.
• Pension Fund to support your long-term financial planning.
• Urban Sports Club membership to keep you active.
• Meals 100% free at the hub.

Diversity & Inclusion

At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.

Application Disclaimer

At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.