Windows Site Reliability Engineer £110K Hybrid LondonOverview:A leading global investment bank is seeking a skilled Windows Site Reliability Engineer to join their London-based Technology team. This is a senior-level leadership role focused on driving platform reliability, automation strategy, and infrastructure modernisation across mission-critical banking systems. This is an excellent opportunity to join an investment banking powerhouse.Role and Responsibilities:

• Lead Platform Engineering and SRE strategy across the organisation
• Build scalable, self-service, and resilient infrastructure platforms
• Drive Infrastructure as Code and CI/CD adoption, automating manual tasks
• Define SLOs and optimise system performance, latency, and scalability
• Lead root cause analysis and remediate technical debt
• Partner with development teams to improve testing, releases, and deployments
• Shape cloud and hybrid migration strategies
• Ensure regulatory, audit, and security compliance
• Act as senior escalation point for high-severity incidents
• Identify cost and efficiency improvements; deputise for senior leadership

Skills and Experience:

• Deep expertise in Microsoft Windows Server internals
• Advanced knowledge of Active Directory, DNS, DHCP, LDAP, and Kerberos
• Extensive experience tuning low-latency, enterprise-scale systems
• Strong background in SRE, DevOps, CI/CD, and Infrastructure as Code principles
• Advanced scripting and development capability (PowerShell, Python, C#)
• Clustering, high-availability, replication, and disaster recovery expertise
• Experience with Git, Terraform, Ansible, Jenkins, and TeamCity
• Strong understanding of security hardening (CIS) within regulated environments
• Deep knowledge of performance monitoring, system internals, and optimisation techniques
• Experience working within financial services or other regulated industries

Desirable:

• Kubernetes and Docker orchestration
• Major cloud platforms (Azure, AWS, GCP)
• Nutanix HCI and VMware ESX
• Enterprise databases (SQL Server, Oracle, Sybase ASE, MongoDB, Snowflake)
• Enterprise monitoring tools (Splunk, Netcool)

Package

• Circa £110,000 + Excellent Package
• London / Hybrid x3 days onsite
• Flexible working considered

Windows Site Reliability Engineer £110K Hybrid London

Job Title: Principal AI/LLM Engineer

Job Location: Rochester, Kent. Onsite

Salary: Circa £75,000 depending on experience and skills

Who we are:

Join BAE Systems and you’ll be part of something bigger. As a valued member of our global colleague network, you’ll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You’ll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow – shaping a safer future, for all of us.

What you’ll be doing:

Architecture & Design Authority – Define / maintain the reference architecture for the BAE ES UK AI/LLM infrastructure across on-prem GPU clusters, virtualized environments. Experience in Engineering & Deployment – Deploy and maintain LLM inference, Implement RAG pipelines, Build CI/CD for AI models, Optimisation & Monitoring of the AI stack. Security, Compliance & Governance – Work closely with IT Security, Data Governance, and Architecture Boards to ensure compliance with GDPR, BAE Global Cyber Security Standards, SOC2, ISO27001, HIPAA (if applicable). Mentoring other staff members. Presenting to senior leadership Team.

Core Duties:

• Proven experience deploying AI/ML platforms in enterprise/on-prem environments
• Deep knowledge of Kubernetes, Docker, and infrastructure automation (Terraform, Helm, Ansible)
• Good experience with LLM frameworks (Hugging Face, vLLM, DeepSpeed, LangChain, Ray)
• Familiarity with message queues, API gateways, and service meshes for scalable inference environments
• Proven programming skills in Python; comfortable with concepts such as Bash, YAML, and CI pipelines

The Electronic Systems IT team:

BAE Systems, Electronic Systems IT (UK) based in Rochester have a strategic objective to rapidly expanding our use of AI over the coming years. To assist with this objective, we require a Principal AI/LLM Engineer to join our IT department.

The Principal AI/LLM Engineer will serve as both a implementer and technical authority for our AI infrastructure. You will architect, deploy, tune, and monitor our Large Language Model (LLM) and AI stack across primarily on-premise environments with selective cloud integrations. This role spans MLOps and platform engineering, and implements AI governance, ensuring our AI capabilities are secure, performant, compliant, and aligned to long-term enterprise strategy.

Why BAE Systems?

Here you’ll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work – this is a place where you can grow your career with confidence and be empowered to be your best. You’ll be recognised for your contribution and enjoy rewards tailored to what’s most important to you and your family – support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make.

A place where everyone can thrive:

We’re committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do.

Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks.

Closing Date: 23rd March 2026

We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.

#LI-SH1

#LI-Onsite

Software Engineer - National Security & Defence

UK-Based | Hybrid and Secure On-Site Working | eDV Clearance Required

Solve complex engineering challenges that help protect the UK.

We’re recruiting Software Engineers to join a high-impact engineering team operating at the heart of the UK’s national security and defence mission. You’ll work on sophisticated, mission-critical systems that support real-world operations, collaborating with experts across engineering, intelligence and defence.

This is a role for engineers who want to work on problems that genuinely matter - in an environment where quality, security and rigour are paramount.

The Role

As a Software Engineer, you’ll design, develop and maintain secure, resilient and scalable software solutions for some of the most sensitive and challenging technical environments in the UK. You’ll work within multidisciplinary teams that include systems engineers, analysts, data specialists and security professionals.

Engineering excellence, attention to detail and collaboration will sit at the core of your day-to-day work.

What You’ll Be Doing

Designing, developing and maintaining secure software components used in operational defence systems

Contributing to technical design and architectural decisions

Writing clean, robust, well-tested code for highly secure environments

Working with cross-functional teams including systems engineers, cyber specialists and mission domain experts

Supporting continuous integration and deployment pipelines in restricted environments

Troubleshooting complex issues across distributed systems and secure infrastructures

Applying strict security, coding and compliance standards

Documenting designs, processes and configurations to a high level of rigour

Working exclusively on secure networks within SCIF/SPOF environments

What We’re Looking For

Essential

Active eDV clearance (UK Enhanced Developed Vetting) - mandatory

Strong background in software engineering across design, build, testing and deployment

Experience in one or more core languages (e.g. Java, Python, C++, C#, JavaScript )

Understanding of secure software engineering principles

Experience working in environments with strict security, audit or compliance requirements

Familiarity with CI/CD tooling and version control (Git)

Comfortable working on-site in secure facilities

Strong communication skills and ability to work collaboratively with multidisciplinary teams

Desirable

Experience working in UK defence, intelligence or national security organisations

Knowledge of containerised or distributed systems (Docker, Kubernetes)

Background in data engineering, pipelines or real-time processing

Exposure to event-driven architectures or messaging systems

Experience with infrastructure-as-code or secure cloud/on-prem hybrid solutions

Interest in emerging technologies, high-assurance systems or applied cryptography

Who This Role Suits

You’ll be a great fit if you:

Want to work on meaningful problems with real-world national security impact

Thrive in structured, mission-driven environments

Enjoy solving complex technical challenges under high assurance constraints

Take pride in delivering high-quality, secure and reliable software

Are comfortable working full-time in high-security spaces

What’s In It For You

Purpose-driven work supporting national security and public safety

Access to unique and complex engineering challenges found nowhere else

Opportunities for progression into technical leadership, architecture or specialist roles

Training and development pathways tailored to secure-environment engineering

Supportive engineering community with strong knowledge-sharing culture

?? Interested?

If you’re an experienced Software Engineer with active eDV clearance and a passion for impactful engineering, we’d love to hear from you.

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.

TPBN1_UKTJ

Reference: BH-377p Working Hours: Full-time Job Type: Permanent Salary: Competitive Location: Remote or Hybrid - London office About The Client: Our client is a rapidly growing Infrastructure-as-a-Service (IaaS) provider driving digital transformation. Key Responsibilities: Architecture & System Design Design and evolve scalable backend services and product components. Make sound architectural decisions across APIs, services, and data layers. Lead delivery from design through production operation. Full-Stack Development Build backend systems primarily in Python. Develop secure, performant APIs supporting AI workflows. Contribute to modern web applications where required (e.g., Next.js). Reliability & Performance Improve monitoring, observability, and system resilience. Optimise performance and support production stability. Engineering Leadership Maintain high coding standards and test coverage. Contribute to code reviews and documentation. Mentor engineers and support technical growth. Collaboration Work closely with Product and Design to deliver scalable solutions. Communicate technical trade-offs and manage cross-team dependencies. Essential skills and requirements: Strong experience building production backend systems and APIs in Python (Flask or similar). Proven ownership of asynchronous or compute-intensive workflows. Experience delivering full-stack features (e.g., Next.js). Practical understanding of AI lifecycle workflows (training, evaluation, deployment, inference). Solid system design knowledge including API design, SQL/NoSQL data systems, and security. Experience managing systems in production (monitoring, debugging, incident response). Familiarity with Git, CI/CD, Docker, and Kubernetes. Desirable Skills: Exposure to LLMs or generative AI platforms. Experience with model lifecycle management or AI observability. Understanding of GPU-based or distributed systems. Experience building developer platforms or workflow orchestration tools. Whats on Offer: Competitive salary + bonus Flexible remote or hybrid working Wellbeing benefits Clear progression in a high-growth environment Strong ownership and collaborative culture TPBN1\_UKTJ

Founded in 2001, Resident Advisor (RA) is one of the world’s longest-running music media brands and a cornerstone of the dance, electronic and DJ ecosystem. The site’s audience of over 7 million monthly users is drawn in by a combination of news, editorial, club listings and ticketing, RA-branded events at venues and festivals worldwide, original films and a weekly mix series that has run for 20 years.

Purpose of the role:

We’re looking for a Lead Platform Engineer passionate about electronic music to join our Core Platform team. You’ll lead a small, focused team helping scale our high-traffic infrastructure that handles massive spikes during on-sale events. Our tech stack includes Node.js/.NET microservices, PostgreSQL/MSSQL databases, ElasticSearch, Redis, and Kafka running on AWS EKS (Kubernetes), managed via Terraform with CI/CD pipelines and DataDog monitoring.

Your responsibilities include improving infrastructure performance and reliability, driving modernization and cost optimization, developing shared components (i.e. auth systems, GraphQL gateways), enhancing developer experience, maintaining E2E testing systems, and creating internal tooling. This is an opportunity to solve challenging scale problems while shaping the technical foundation that powers RA’s products for the electronic music community.

Key responsibilities

• Managing and improving AWS infrastructure using infrastructure-as-code practices
• Database maintenance and query optimization
• Cloud cost optimization and resource efficiency
• Researching, planning, and leading the evolution of backend infrastructure, transitioning from reactive maintenance to a proactive, future-proof platform roadmap
• Providing functional and technical training to the broader development team, fostering a culture of shared knowledge and operational excellence
• Writing application code to support infrastructure tooling and shared platform services
• Leading, mentoring, and supporting a team of two site reliability engineers and one QA Engineer including regular 1:1s, goal setting, and performance feedback
• Owning team capacity planning and workload prioritization, ensuring the right work gets done in the right order
• Collaborating with the QA Engineer to define and uphold quality standards, integrating QA practices into the wider development team’s process
• Acting as a technical escalation point for your team and a key voice in broader platform and architecture decisions

Required Skills:

• Experience working with AWS
• Experience with Kubernetes and containerized application deployment
• Experience with infrastructure-as-code technologies (Terraform preferred)
• Experience deploying and maintaining SQL-based databases (PostgreSQL or MS SQL Server)
• Experience writing production-level application code
• Experience building and maintaining CI/CD pipelines
• Experience with git and version control workflows
• Strong documentation writing skills and commitment to knowledge sharing
• Proven experience leading or mentoring engineers in a formal or informal capacity
• Strong interpersonal skills with openness to giving and receiving feedback
• Fluent English communication skills (written and verbal)
• Experience with DataDog or similar for monitoring and alerting

Desired Skills:

• Experience with both PostgreSQL and MS SQL Server
• Advanced SQL query optimization skills
• Experience deploying and maintaining Kafka for event-driven architectures
• Experience deploying and maintaining ETL pipelines
• Deep understanding of Site Reliability Engineering principles and best practices
• Experience with backend languages such as C# and Node.js
• Experience with scripting languages (such as Bash, Python, PowerShell)
• Experience managing high-traffic systems with significant load variations
• Familiarity with QA methodologies and E2E testing frameworks, and an appreciation for how reliability and quality practices intersect

What we offer you:

• Generous annual leave policies aimed at promoting work-life balance.
• Flexibility in working arrangements, offering hybrid or remote work options based on role requirements and location.
• Matching pension schemes and/or 401k.
• Comprehensive staff wellbeing initiatives, featuring regular activities and workplace programmes to support mental and physical health. This includes discounted Classpass memberships, and custom-fitted earplugs.
• Company-led social events, team lunches, and discounts on RA merch.
• Paid annual volunteering allowance, encouraging contributions to community projects and charities you care about.
• Regular company-wide Q&As with senior leadership, along with ongoing virtual educational training sessions for all staff.
• A transparent internal company culture committed to diversity, equity, and inclusion (see:https://ra.co/about/diversity).
• Active involvement in community projects within the electronic music community (see: https://ra.co/about/community).

More about RA:

As an independent company run by devoted dance music enthusiasts, our mission is to bring together the world’s electronic music communities. Our Global Contributor Network (GCN) and international teams help us establish connections with hyper-niche local scenes.

We became B-Corp certified in 2024, which counts us among businesses leading a global movement for an inclusive, equitable, and regenerative economy and part of a community that meets high social and environmental impact standards.

We especially welcome applicants from diverse backgrounds, abilities, ethnicities, experiences, gender identities, and sexual orientations. We aim for our team to reflect the communities we engage with. We ensure everyone is valued and respected by actively promoting equality, diversity, and inclusion in our workplace.

Our values:

• Electronic music is art.
• We celebrate the progressive values that underpin electronic music.
• We advocate for a more inclusive and equitable electronic music community.
• We honour the past, present and future of electronic music.
• We use innovation to empower the community.
• We choose honesty over gain and purpose over profit.
• We’re always front left

This role is a full-time position, based in London. Please note: This position requires applicants to be based in London and to work from the office three days per week. The annual salary range for this role is £75,000 £85,000.This listing will be open for a maximum of two weeks from the 6th March.

The Role

We are seeking a skilled OpenShift Telemetry Engineer to join our team. In this role, you will be responsible for implementing, managing, and optimizing the observability stack within a Red Hat OpenShift Container Platform environment to ensure system health, performance, and security.

You will act as a bridge between application monitoring and infrastructure observability, leveraging modern telemetry and data streaming tools.

Key Responsibilities

• Design, implement, and maintain data pipelines to ingest and process OpenShift telemetry data (metrics, logs, and traces) at scale.
• Stream OpenShift telemetry through Kafka (producers, topics, schemas) and build resilient consumer services for transformation and enrichment.
• Engineer data models and routing mechanisms for multi-tenant observability while ensuring data lineage, quality, and SLA adherence across streaming layers.
• Integrate processed telemetry into Splunk for dashboards, visualization, alerting, and analytics to achieve Observability Level 4 (proactive insights).
• Implement schema management, governance, and versioning using Avro or Protobuf for telemetry events.
• Build automated validation, replay, and backfill mechanisms to ensure data reliability and recovery.
• Instrument services with OpenTelemetry, standardizing tracing, metrics, and structured logging across platforms.
• Utilize LLM-based capabilities to enhance observability (e.g., query assistance, anomaly summarization, runbook generation).
• Collaborate with Platform, SRE, and Application teams to integrate telemetry, alerts, and SLOs.
• Ensure security, compliance, and best practices for telemetry data pipelines and observability platforms.
• Document data flows, schemas, dashboards, and operational runbooks.

Required Skills & Experience

• Hands-on experience building streaming data pipelines with Kafka (producers/consumers, schema registry, Kafka Connect, KSQL, Kafka Streams).
• Strong experience with OpenShift / Kubernetes telemetry, including OpenTelemetry and Prometheus.
• Experience integrating telemetry into Splunk (HEC, Universal Forwarder, source types, CIM) and building dashboards and alerts.
• Strong data engineering skills using Python (or similar languages) for ETL/ELT, enrichment, and validation.
• Experience with event schemas (Avro, Protobuf, JSON) and schema compatibility strategies.
• Familiarity with observability frameworks and maturity models, driving toward Level 4 observability (proactive monitoring and automated insights).
• Understanding of hybrid cloud and multi-cluster telemetry architectures.

Preferred Skills:

• Security and compliance practices for data pipelines, including:

  • Secret management
  • RBAC
  • Encryption in transit and at rest

• Strong problem-solving and analytical skills.

• Ability to work effectively in cross-functional teams.

• Excellent communication and documentation skills.

Mid-Level Engineer - Technology & Innovation

London, UK | Hybrid 3 days a week in office.

We’re hiring a Mid-Level Engineer to join a growing Technology & Innovation team within a Financial Advisors firm, one of the UK and Ireland’s leading Corporate Finance advisory firms.

Reporting to the CTO, you’ll help deliver and manage our cloud-agnostic data & AI platform , scale client digital products , and work across cutting-edge technologies including AI, cloud platforms, and data engineering . This role sits at the heart of our strategy to unlock value from data across real assets, sustainability, and essential services .

What you’ll do

Build and enhance our cloud platforms and data infrastructure

Deploy AI/ML and GenAI solutions into production

Drive automation and operational efficiency using AI and RPA

Support development of client-facing digital platforms and dashboards

Modernise systems into cloud-native, API-first architectures

Key skills

Cloud engineering (Azure, Kubernetes, serverless, DevOps)

Python and relational databases (SQL)

Data platforms, ETL/ELT, and analytics

AI tools and LLM integrations (e.g. GPT, Claude, Gemini)

Security, governance, and regulated environment experience

Why this team?

Work in a high-performing, cooperative team

Exposure to advanced AI and data technologies

Opportunity to shape technology strategy in corporate finance

A values-driven B-Corp organisation focused on Finance with a Purpose

If you’re an ambitious technologist who enjoys solving complex problems and building impactful platforms, please apply below.

*This role does not offer Visa sponsorship*

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

TPBN1_UKTJ

Our Hedge Fund client is looking for a Python Developer/Engineer Contract role

This team is responsible for the firms equity transaction data platform, including trade life cycle event processing, enrichment, and PnL calculations. The role is ideal for an engineer who enjoys building robust, high-throughput services and data pipelines in a fast-paced, delivery-focused environment.

Principal Responsibilities
Design and develop solutions for trade life cycle event processing, including corporate actions, expiries, and other post-trade events.
Build and operate Python-based services that perform large-scale data transformations and calculations.
Publish and distribute transaction and PnL data using Kafka, including AVRO-based schemas and streaming patterns.

Required Skills
Minimum of 6+ years of professional Python development experience, ideally in capital markets or a fintech firm.
Experience in finance: understanding of common financial asset classes; knowledge of equities corporate action processing, trade life cycle concepts, and/or P&L calculations is a strong plus.
Experience with Kafka (or equivalent streaming/messaging platforms) and schema-based event publishing (eg, AVRO).
Strong experience performing large-scale data calculations in Python using libraries like pandas, polars, and NumPy.
Experience building REST services using frameworks such as FastAPI and/or Flask.
Strong SQL skills and experience working with relational databases in production environments.
Hands-on experience with containerized deployments and modern infrastructure tooling (Docker, Kubernetes) and familiarity with cloud platforms.
Understanding of modern SDLC practices (testing strategy, CI/CD, release management, observability, and operational ownership).

Office based, 5 days per week.
Based in London.

Contract role inside IR35

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• Role/Job title: AI Architect
• Mode of working London- 3 days onsite
• Type of Employment- Permanent

The Role:

As an Artificial Intelligence Architect, you will lead client-facing initiatives at the forefront of Generative and Agentic AI. This high-impact, senior consulting role blends visionary thinking with deep technical expertise, solution architecture, and strategic advisory. You will be instrumental in shaping innovative AI solutions that drive transformation across enterprise environments.

Your Responsibilities:

• Client Engagement: Partner with sales leaders to qualify opportunities, shape proposals, and build compelling business cases. Act as a trusted advisor to clients during discovery sessions, workshops, and bid processes.
• Solution Design: Translate client needs into fit-for-purpose Data & AI solutions, leveraging modern cloud platforms (Azure/AWS, with GCP/Oracle as a plus). Design AI interventions for application support, monitoring, and business operations.
• Technical Leadership: Lead complex implementations that deliver measurable outcomes. Architect and scale GenAI chatbots and Agentic AI solutions. Evaluate and select appropriate models, frameworks, and orchestration tools.
• Thought Leadership: Produce thought leadership content, refine go-to-market propositions, and maintain strong knowledge of the competitive landscape.
• Collaboration: Work closely with cross-functional teams-including data science, engineering, and business stakeholders-to identify opportunities and design robust AI solutions. Foster cross-functional collaboration between various stakeholders like business, data science, and engineering.
• Innovation: Contribute to overall account strategy, ensuring technical solutions align with business priorities. Drive productivity and cost optimizations.

Your Profile:

Essential skills/experience/knowledge:

• Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space.
• Good understanding of Prompt engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability.
• Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and vector databases (Pinecone, Weaviate, FAISS, etc.).
• Ability to design enterprise-level AI/Gen AI platform/solutions with the client’s existing enterprise stack.
• Hands-on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph).
• Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services.
• Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems.
• Proficiency in Python with AI/ML frameworks (PyTorch, TensorFlow).
• Experience with MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes).
• Deep proficiency in Python and extensive experience with relevant AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
• Proven experience developing applications leveraging state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude) including prompt engineering, fine-tuning, and evaluation.
• Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, autonomous agent design, and evaluation methodologies for complex AI systems.
• Strong articulation, stakeholder management, and consulting skills. Experience working on client proposals RFI/RFP/Orals stages.
• Experience leading a team of AI/software engineers.

Rewards & Benefits:

TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network.

We offer health & wellness initiatives and sports events; we are the proud sponsor of the London Marathon.

Role Title: Confluent Engineer
Location: London
Duration: 27/05/2026
Days on site: 2-3
Rate INSIDE IR35 £402.75 PER DAY

MUST BE THROUGH UMBRELLA

Role Description:

* Role Title: Senior Software Engineer - Confluent Streaming Platform

Role Purpose
* We are seeking a Senior Software Engineer with strong hands-on experience in Confluent Platform, Apache Kafka, and Apache Flink to support the introduction and evolution of Intact’s enterprise streaming capabilities. This role sits within the Integration function, responsible for enabling Real Time data, event-driven architecture, and high-performance integrations across the organisation.
* The ideal candidate will contribute to the design, development, and scaling of Intact’s Confluent-based streaming platform, supporting teams across the organisation in adopting event-driven approaches.
* This opportunity sits within a significant cloud-modernisation programme, leveraging Agile and DevOps practices to continuously deliver business value.

Key Accountabilities
* Deliver engineering tasks across the Confluent Streaming Platform, including the design, development, testing, and deployment of event-driven services and data pipelines.
* Develop Kafka topics, schemas, and streaming applications using Kafka, Kafka Connect, Schema Registry, and Flink.
* Collaborate with architects and platform teams to shape the event streaming roadmap.
* Provide subject-matter expertise in distributed streaming and event-driven architecture.
* Review streaming applications produced by other engineers, ensuring quality and best practices.
* Troubleshoot production streaming issues and conduct root-cause analysis.
* Promote platform standards, governance models, and reusable patterns.
* Collaborate with vendor teams and Confluent professional services.
* Actively participate in Agile ceremonies and technical discussions.

Customer Conduct Framework
* Understand how FCA Conduct Rules apply to this role and consistently demonstrate behaviours that support positive customer outcomes and safe data handling.

Functional/Technical Skills
* 6+ years of software engineering experience, including 3+ years hands-on with Confluent/Apache Kafka.
* Experience designing and building distributed streaming applications using Confluent Platform components.
* Strong understanding of event-driven architecture concepts (event streaming, event sourcing, Pub/Sub, stream processing).
* Experience with Avro/JSON/Protobuf, schema evolution, and Schema Registry.
* Integration experience with Back End systems such as SQL/NoSQL databases, APIs, and cloud data platforms.
* Familiarity with API design, data modelling, and microservice integration patterns.
* Proficient with Git, Jira, Azure DevOps, Docker, Kubernetes.
* Working knowledge of AWS and/or Azure.
* Strong understanding of clean code, reusable component design, and Agile/DevOps practices.

Decision-Making Authority
* Makes decisions on design and implementation of streaming components within agreed architecture and standards.
* Provides expert guidance impacting platform reliability, performance, and integration quality.
* Escalates risks, issues, and architectural concerns appropriately.

Please send latest CV

LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds.

Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period.

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.

Role Title: Confluent Engineer
Location: London
Duration: 27/05/2026
Days on site: 2-3
Rate: £402/Day -Inside IR35

MUST BE PAYE THROUGH UMBRELLA

Role Description:

Role Title: Senior Software Engineer - Confluent Streaming Platform

Role Purpose
We are seeking a Senior Software Engineer with strong hands-on experience in Confluent Platform, Apache Kafka, and Apache Flink to support the introduction and evolution of Intact’s enterprise streaming capabilities. This role sits within the Integration function, responsible for enabling Real Time data, event-driven architecture, and high-performance integrations across the organisation.
The ideal candidate will contribute to the design, development, and scaling of Intact’s Confluent-based streaming platform, supporting teams across the organisation in adopting event-driven approaches.
This opportunity sits within a significant cloud-modernisation programme, leveraging Agile and DevOps practices to continuously deliver business value.

Key Accountabilities
Deliver engineering tasks across the Confluent Streaming Platform, including the design, development, testing, and deployment of event-driven services and data pipelines.
Develop Kafka topics, schemas, and streaming applications using Kafka, Kafka Connect, Schema Registry, and Flink.
Collaborate with architects and platform teams to shape the event streaming roadmap.
Provide subject-matter expertise in distributed streaming and event-driven architecture.
Review streaming applications produced by other engineers, ensuring quality and best practices.
Troubleshoot production streaming issues and conduct root-cause analysis.
Promote platform standards, governance models, and reusable patterns.
Collaborate with vendor teams and Confluent professional services.
Actively participate in Agile ceremonies and technical discussions.
Customer Conduct Framework
Understand how FCA Conduct Rules apply to this role and consistently demonstrate behaviours that support positive customer outcomes and safe data handling.

Functional/Technical Skills
6+ years of software engineering experience, including 3+ years hands-on with Confluent/Apache Kafka.
Experience designing and building distributed streaming applications using Confluent Platform components.
Strong understanding of event-driven architecture concepts (event streaming, event sourcing, Pub/Sub, stream processing).
Experience with Avro/JSON/Protobuf, schema evolution, and Schema Registry.
Integration experience with Back End systems such as SQL/NoSQL databases, APIs, and cloud data platforms.
Familiarity with API design, data modelling, and microservice integration patterns.
Proficient with Git, Jira, Azure DevOps, Docker, Kubernetes.
Working knowledge of AWS and/or Azure.
Strong understanding of clean code, reusable component design, and Agile/DevOps practices.
Decision-Making Authority
Makes decisions on design and implementation of streaming components within agreed architecture and standards.
Provides expert guidance impacting platform reliability, performance, and integration quality.
Escalates risks, issues, and architectural concerns appropriately.

If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.

We’re seeking a Cloud & Platform Engineering Advisory Lead who is passionate about solving realworld challenges through technology. You’ll collaborate with senior stakeholders-both internally and across major client organisations to shape cloud strategy, architect scalable and secure solutions, and influence innovative transformation programmes.

Cloud & Platform Engineering Advisory Lead

Location: Bases UK-Wide
Organisation: Leading IT Consulting Business & Leading Global Cloud Partner!
Working Model: Hybrid (office, client site, and home)
Salary: £100,000 to £109,000 base salary + benefits, perks, healthcare options + 10% bonus

About the Opportunity

The infrastructure and cloud landscape is evolving rapidly as organisations pursue greater standardisation, automation, and strategic guidance on their digital journeys. This role sits within a leading Cloud Infrastructure Services practice, working at the forefront of industry transformation and helping clients simplify complexity with clarity, creativity, and confidence.

We’re seeking a Cloud & Platform Engineering Advisory Lead who is passionate about solving real-world challenges through technology. You’ll collaborate with senior stakeholders.

Key Responsibilities

• Partner with Senior Leaders (including CxOs) to advise on major transformation programmes and complex cloud/platform engineering initiatives.
• Drive growth by shaping compelling technology solutions and competitive cloud propositions.
• Build and nurture long-term strategic relationships with both clients and internal teams.
• Design innovative, practical solutions rooted in strong technical expertise and a problem-solving mindset.
• Represent the advisory function in strategic forums and contribute to thought leadership.
• Collaborate across diverse technical teams, supporting knowledge-sharing, mentoring, and continuous learning.

Skills & Experience Required

• Strong experience designing and implementing cloud solutions using AWS, Azure, or Google Cloud (certifications advantageous).
• Familiarity with Infrastructure as Code tools such as Terraform or CloudFormation.
• Solid understanding of cloud strategy, platform engineering, and operating models, with hands-on expertise in areas such as:
• Automation
• Containerisation (Docker, Kubernetes)
• FinOps
• Proven ability to translate business needs into scalable, user-focused cloud solutions.
• Excellent communication, stakeholder engagement, and team-empowerment skills.
• A growth mindset with a passion for continuous improvement.

Security Clearance Requirements

To be appointed to this position, you must be eligible to obtain Security Check (SC) clearance, which includes:

• Continuous UK residency for the last 5 years
• Eligibility based on nationality and immigration status
• Employment history checks
• An unspent criminal record (DBS) check

Please APPLY now to learn more!

London | Hybrid working | £100k to £105k

A growing online retailer is looking for someone to help modernise a cloud platform that has evolved over the past decade.

The business has built a successful product and strong engineering team, but now wants to take the platform into its next phase. They are looking for a DevOps leader who still enjoys being hands on with the technology while helping a small team level up how they work.

This role sits right in the middle of that transformation.

You will split your time between working with the platform and helping shape how the DevOps team operates. It is roughly a 50 50 balance between hands on engineering and leadership.

The environment is already running in AWS with Kubernetes and Python, alongside MariaDB, MySQL and Postgres. The opportunity is to modernise the platform, improve automation and help shape the DevOps culture as the business continues to grow.

This role would suit someone who has recently stepped into leadership but still enjoys solving technical problems and improving how platforms run in production.

Hybrid working with two days per week in the London office.

If you enjoy improving platforms rather than just maintaining them, feel free to message me and I would be happy to share more details.

RSG Plc is acting as an Employment Agency in relation to this vacancy.

Up to £475/day Outside IR35 London 2 days per week in Office We are seeking a highly skilled AI Engineer with deep expertise in Agentic AI, Large Language Models, NLP, GenAI pipelines, cloud ML platforms, and vector-based retrieval systems . This is an opportunity to join an advanced AI team building next-generation intelligent systems, multi-agent applications, and high-scale GenAI microservices. You will design, deploy, and optimise production-grade AI/ML systems powering millions of customer interactions. You will work across Python, cloud-native architectures, vector search, RAG frameworks, orchestration engines, and multi-agent systems , shaping AI capabilities that transform how organisations interact, automate, and understand their customers. Key Responsibilities AI / LLM / Agentic Engineering Design, build, and optimise agentic AI systems using frameworks such as LangChain, LangGraph, Vertex AI Agent Builder, Bedrock Agents, AgentKit, CrewAI , and custom orchestration. Build LLM-powered applications using models including GPT-4o/5, Llama3, Claude, Gemini 2.5 Pro, Bard , and enterprise-grade LLM deployments. Implement RAG and CAG architectures using Pinecone, OpenSearch, Google GenAI Search , and custom vector stores. Engineer domain-tuned embeddings using ADA-002, Gecko, Word2Vec, BERT, Sentence Encoder, and topic modelling. AI/ML Pipelines & MLOps Develop scalable AI/ML microservices using Docker, Kubernetes (EKS/GKE), and CI/CD-driven automation. Build and enhance pipelines for model evaluation, bias/drift detection, real-time inference, and monitoring . Optimise inference latency for high-volume, near-real-time applications such as transcript and behavioural analysis. NLP & Applied Machine Learning Apply text clustering, N-gram analytics, sentiment modelling, intent classification, and summarisation for insight extraction. Refine conversational intent taxonomies and behavioural models for more accurate AI assistant interactions. Data Engineering & Cloud Integration Use cloud services including SageMaker, Azure ML Studio, Vertex AI for training, deployment, and monitoring. Manage datasets using GCP Cloud Storage and implement secure, compliant data workflows. AI Governance & Quality Assurance Establish guardrails, safety layers, automated evaluation frameworks, and prompt governance patterns. Ensure all AI systems meet stringent data governance, privacy, and financial-sector compliance requirements. Technical Skills Languages & Development Python, Java, SQL, Shell Scripting, Node.js, Streamlit IDE experience: PyCharm, VS Code, JupyterLab, Eclipse, Notepad++, Sagemaker Studio, Azure ML Studio, Vertex AI Workbench Python Libraries NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, Keras, PyTorch, PySpark, SpaCy, SciPy, NLTK, Statsmodels, Boto3, AzureSDK NLP & LLMs BERT, Word2Vec, Universal Sentence Encoder, NLTK, embeddings, fuzzy matching, topic modelling LLM experience: GPT-3.5/4o/5, Llama2/3, Claude, Gemini, Bedrock models, SQuAD fine-tuning, custom RAG agents AI Search & Vector Innovations Pinecone, OpenSearch, LangChain/LangGraph, LangIndex, Vertex AI Search, Vector DBs, RAG pipelines What We're Looking For Proven experience developing production-grade LLM, GenAI, NLP, or agent-based AI systems . Strong engineering foundation across Python, cloud platforms, APIs, and vector search. Experience with complex multi-agent AI orchestration. Ability to deliver high-scale, low-latency AI solutions in demanding environments. Strong collaboration, architectural thinking, and a passion for cutting-edge AI innovation. TPBN1\_UKTJ

Role: Lead DevOps Engineer Rate: £675 - £715 per day (Inside IR35 - Umbrella) Location: Fully Remote (UK-Based) Duration: Initial 6 months (extensions highly likely) Clearance: Active SC Clearance (Required) The Opportunity Join a high-profile Public Sector transformation programme. We are seeking a senior-level DevOps Engineer to serve as technical leads in the design and evolution of secure, cloud-native platforms. This is a pure IaC (Infrastructure as Code) environment focused on enterprise-scale resilience and security. Core Technical Stack \* AWS Master: Deep expertise across EC2, Lambda, S3, IAM, and VPC. Terraform Expertise: Proven track record in designing and refactoring complex IaC environments (Git/GitLab integration). CI/CD Orchestration: Advanced experience with GitLab CI and Jenkins to automate end-to-end delivery pipelines. Containerization: Practical experience with Docker and Kubernetes (EKS) for scaling microservices. Scripting: High proficiency in Python, Bash, and Ansible for automation and 'code review' leadership. Responsibilities Lead Technical Design: Shape the architectural direction of the AWS environment. Refactoring & Quality: Lead code reviews and promote refactoring techniques to enhance a multi-site enterprise codebase. Security & Compliance: Implement robust security measures aligned to GDS and Home Office security standards. Stakeholder Liaison: Act as the technical bridge between IT colleagues and business clients to track prioritisation and delivery. Apply Now for immediate consideration TPBN1\_UKTJ

Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements Transition validated experiments into production-ready solutions, working closely with other engineers on deployment and monitoring Build and optimise ML pipelines using AWS services and experiment tracking tools Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches and contribute to feature store development Support production models through monitoring, performance analysis, and continuous improvement Apply responsible AI practices, including model explainability and fairness assessment Present experiment findings and production outcomes to stakeholders, articulating operational and strategic value Mentor junior colleagues and share learnings across the team About You You will have experience in many of the following: Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments Strong experiment design skills: hypothesis formulation, A/B testing methodology, and statistical evaluation Proven track record transitioning models from experimentation to production with appropriate governance and quality controls Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures It Would Be Great If You Also Had Experience In Some Of These, But If Not Well Help You With Them Experience with advanced LLM techniques: agents, tool use, and agentic workflows Experience with vector databases (Pinecone, Weaviate, pgvector) for RAG applications Experience with feature stores (Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience with data processing frameworks (Spark, Dask) for large-scale workloads Understanding of data governance and compliance frameworks TPBN1\_UKTJ

A leading technology consultancy is seeking an experienced Machine Learning Operations Engineer to help deploy AI/ML solutions into production environments across a range of client engagements. This role is focused on operationalising models (MLOps / AIOps), rather than building ML applications from scratch. Key Responsibilities Design and develop machine learning operational processes across diverse client environments Analyse client requirements and provide clear technical recommendations Manage the full ML lifecycle, including data selection, model deployment, operationalisation, and monitoring Develop Infrastructure as Code for ML platforms using AWS CDK Collaborate closely with data scientists to productionise ML models Required Experience & Skills Proven experience deploying AI/ML models into production (MLOps / AIOps) Strong AWS experience (other cloud platforms will not be considered) Experience with CI/CD pipelines for ML/DL models Proficiency in Python and common ML libraries (e.g. Scikit-learn, TensorFlow, PyTorch) Experience with container technologies (Docker, Kubernetes) Consultancy or client-facing experience preferred Strong communication and stakeholder management skills Qualifications IT / Technology-related degree (e.g. Computer Science, Engineering, Mathematics or similar) Minimum 2:1 classification (or equivalent) Bachelors degree or higher required TPBN1\_UKTJ

Job Title: AI Engineer / Machine Learning Engineer Location: UK (Hybrid/Flexible) Salary: £80,000£120,000 Experience: 38 Years A fast-growing technology consultancy is looking for a talented AI Engineer / Machine Learning Engineer to join their expanding AI practice. This is a high-impact role working on real client projects across generative AI, machine learning and cloud-based solutions. Key Responsibilities: Design, build and deploy machine learning and AI solutions for enterprise clients Develop models using Python, PyTorch and modern ML frameworks Work with large datasets to train, evaluate and optimise models Implement and scale solutions on AWS (SageMaker, Bedrock, Lambda, etc.) Contribute to generative AI initiatives using Hugging Face and open-source models Collaborate with data engineers, architects and stakeholders to deliver production systems Required Skills & Experience: 38 years experience in AI, Machine Learning or Data Science roles Strong Python programming skills Hands-on experience with PyTorch Experience with Hugging Face transformers or similar frameworks Solid experience deploying ML solutions on AWS Understanding of MLOps, model deployment and performance optimisation Ability to work in a consultancy environment with multiple clients Desirable: Experience with LLMs, RAG pipelines or generative AI applications Knowledge of Docker, Kubernetes or CI/CD for ML Exposure to other cloud platforms (Azure/GCP) Whats on Offer: £80,000£120,000 base salary Work on cutting-edge AI and generative AI projects Rapid career progression within a growing consultancy Collaborative, innovation-focused culture Flexible/hybrid working If youre looking to build advanced AI solutions and want to be part of a consultancy scaling its AI capability, apply now with your CV. TPBN1\_UKTJ

We are seeking an experienced AI Architect to join a global consulting team. This role is central to shaping enterprise-scale AI transformations, combining deep technical expertise with strategic client engagement.

As a Gen AI Architect, you will:

• Lead the design and delivery of AI and cloud-native architectures, including Generative AI, NLP, and LLM solutions.
• Retrieval-Augmented Generation (RAG) and CAG (Cache Augmented) Architecture: Defining architectural patterns for end-to-end pipelines
• Act as a trusted advisor to senior stakeholders, guiding AI roadmaps and strategy.
• Translate complex business needs into scalable AI-driven solutions across public cloud, edge, and hybrid environments.
• Drive thought leadership through client workshops, industry forums, and technical advisory.
• Ensure AI solutions meet governance, ethics, and responsible AI standards.
• Collaborate with internal teams and global partners to deliver world-class AI platforms.

Key Skills & Experience:

• 10+ years of technical leadership (with a strong background in Software Engineering / Enterprise scale architecture)
• Knowledge of GenAI operations (ideally, experience governing AI models in production environments)
• Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems.
• Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering.
• Proven ability to engage directly with CxO-level stakeholders.
• Experience in MLOps, AI governance, and large-scale deployment.
• Recognised professional certifications in AI or cloud technologies.

If you have these skills and would like to find out more, please apply now

Job Description: Cybersecurity Consultant (Cloud, Data, AI & Microsoft Security)

Department: Information Security - (Data & AI team)

Duration: Duration 4 months

Location: London (Hybrid)

Role Overview

We are looking for a highly skilled Cybersecurity Consultant with strong expertise across Microsoft Security, Cloud Security, Data Protection, and emerging AI/LLM security and governance. The role focuses on identifying security gaps, defining secure-by-design patterns, supporting product and platform teams, and strengthening enterprise security posture-particularly across Microsoft 365, Azure, data platforms, and AI-enabled solutions.

You will play a key role in threat modelling, risk assessments, guardrail design & implementation, and delivering practical security guidance for engineering, data, and application/product teams.

Rationale/deliverables:

• Contribute to the Operating Securely program by providing information security advice and support to product and engineering teams and validate that security controls are in place and issues / vulnerabilities remediated
• Perform technical risk assessments for proposed new and changing systems, including products that are designed and built by the client as well as the secure deployment and configuration of business applications that report on and analyse data, e.g. Power BI
• Perform technical risk assessments and advise product and engineering teams on the secure implementation of AI based solutions, e.g. autonomous AI agents, LLMs, LRMs, and AI-enhanced productivity systems
• Support the roll-out of the new AI information security control framework
• Support the Data governance team

Key Responsibilities

• Perform threat modelling(STRIDE), guardrail definition, and security posture assessments across applications, data platforms, APIs, cloud services, and SaaS ecosystems.
• Identify security control gaps, especially around data pipelines, repositories, network security, API security, middleware, and cloud architectures.
• Conduct technical security risk assessments, produce risk statements/reports, and support teams with remediation and mitigation strategies.
• Develop security controls, standards, and documentationfor product teams, platform engineering, and data services (e.g., pipelines, warehouses, data sources).
• Provide expert guidance on Microsoft Security Stack, including:
  • Microsoft Defender (XDR, MDE, MDI)
  • Microsoft Entra ID (SSO, MFA, Conditional Access, PIM)
  • Microsoft Purview (DLP, Information Protection, Data Governance, DSPM)
  • Microsoft 365 Copilot & GitHub Copilot security enablement
• Partner with data governance, platform engineering, DevOps, and architecture teams to embed secure-by-design
• Support secure adoption of cloud-native technologies(Azure), DevSecOps pipelines, GitOps practices, and GitHub Advanced Security (GHAS).
• Oversee security controls for cryptography, key management, secrets management, HSM/Key Vault configurations, and cloud network security (firewalls, proxies, segmentation).
• Drive secure integration of AI/LLM tools, including Copilot, Azure OpenAI, and agentic systems-ensuring proper guardrails, risk assessments, and data protection.
• Participate in cloud monitoring, detection & incident response, working with SIEM/XDR tooling and platform/application teams.
• Collaborate closely with data governance to ensure appropriate classification, labeling, access control, and lifecycle managementof sensitive data.

Essential Skills & Experience

• Strong understanding of security frameworks(CIS), MITRE ATT&CK, and AI/LLM security frameworks.
• Hands-on experience with Azure cloud security, DevSecOps, and cloud-native architectures.
• Expertise with Microsoft 365 Securityand Azure Security
• Strong knowledge of IAM(SSO, MFA, Conditional Access, AAD/Entra, PIM).
• Experience delivering data security, DLP, DSPM, and governance controls using Microsoft Purview.
• Practically skilled in AI security, including risk identification, secure integration patterns, and AI governance models.
• Experience with cloud monitoring, incident response, SIEM/XDR operations.
• Ability to translate complex security risks into clear business language and actionable recommendations.

Desirable Skills

• Experience with secure data platforms (Azure Data Factory, Data Lake, SQL, or similar).
• Knowledge of API, container security, Kubernetes, and infrastructure-as-code security.
• Familiarity with PCI, GDPR, data privacy requirements, and compliance frameworks.
• Exposure to adaptive protection, insider risk management, and automated DLP frameworks.

Personal Attributes

• Strong communicator able to work across engineering, data, product, and business teams.
• Highly analytical with a structured approach to problem-solving.
• Comfortable in fast-paced environments undergoing modernization and AI adoption.
• Ability to influence teams and drive secure-by-design culture across the organization

Job Title: Platform Operations Engineer
Department: AI Lab - Platform Operations Team
Location: Remote
Employment Type: Full-time, Permanent

Overview
We are actively looking to secure multiple Platform Operations Engineers to join Experis, part of the ManpowerGroup - a global organisation with over $20?billion in annual revenue and more than 1,000 consultants on assignment across 20 clients worldwide.
Experis UK is in an exciting growth phase, with ambitious expansion plans and deep partnerships across multiple industries. Our model is personal and career-focused: we invest in our consultants through continuous training, technology exposure, and collaborative development.

About the Role
IBM’s AI Lab is building next-generation AI platforms and services. To support this mission, we’re growing our Platform Operations Team, responsible for the cloud infrastructure that powers our AI services. As a Platform Operations Engineer, you’ll work across AWS, Kubernetes, and internal automation tools to ensure the platform runs smoothly, securely, and efficiently.
This role suits someone who enjoys working at the intersection of software development and operations - writing code, automating infrastructure, and supporting high-performance machine learning environments.

Key Responsibilities

• Deploy, manage, and monitor applications on AWS EKS (Kubernetes)
• Build and maintain Helm charts, manifests, and ArgoCD configurations
• Contribute Python code for internal tooling, automation, and services
• Manage CI/CD pipelines (e.g. Concourse, GitLab CI)
• Troubleshoot issues in networking, permissions, and application performance
• Work with development teams to streamline deployment and scaling of AI systems
• Maintain secure cloud environments through thoughtful IAM and Terraform configurations

Essential Skills and Experience

• Strong hands-on experience with Kubernetes (deployment, debugging, Helm)
• Intermediate to advanced Python development skills
• Familiarity with CI/CD pipelines, especially writing and debugging them
• Solid understanding of AWS services (EKS, IAM, S3)
• Confident with Linux-based environments and containerization (Docker)

Ideal (Bonus) Skills

• Experience with Helm, ArgoCD, and GitOps workflows
• Practical knowledge of Terraform for infrastructure-as-code
• Understanding of Kubernetes networking, ingress management, and certificate handling
• Exposure to OAuth/OpenID, certificates, and authentication proxies