4 of 4 CI/CD Jobs in the City of Westminster

routine operational tasks such as configuration updates, performance checks, restarts, permissions reviews, and patching activities. Support deployments and releases through controlled CI / CD pipelines. Assist with maintaining service accounts, IAM roles, and organisational policies following least-privilege principles. Support with application migration activities including … Experience working in environments without direct internet connectivity. Strong engineering background with deep understanding of IaC (Terraform, Deployment Manager), automation, and CI / CD pipelines. Expertise in networking, IAM, containerisation (GKE / Kubernetes), and secure systems design. Confident working within highly regulated or classified ...

data flows, and third‐party integrations Provide clear, proportionate security recommendations aligned to enterprise standards Advise on embedding security controls into CI / CD pipelines (e.g. SAST, SCA, secrets scanning, IaC scanning) Support secure engineering practices across build, deploy, and operate phases … mobile, APIs, e‐commerce) Proven ability to review and challenge technical designs and architectures Strong understanding of DevSecOps and modern CI / CD practices Hands‐on knowledge of Azure cloud security What’s in it for you Being a part of M&S is exactly ...

moves. Key Responsibilities 1. Agentic AI Systems Design, build, and evolve multi-agent systems and LLM-powered pipelines. You will: Design agent topologies - planner / executor, supervisor / worker, reflection loops, human-in-the-loop Build and extend agents using frameworks like LangGraph, Strands, and Agent SDKs Evolve … cost, latency, and quality per prompt, model, and client Build guardrails for prompt injection, PII, and output safety Drive prompt engineering practice - versioning, A / B testing, platform overlays 3. Cloud & Data Infrastructure Own the cloud substrate that runs the AI workloads. You will: Architect and maintain AWS infrastructure ...

moves. Key Responsibilities 1. Agentic AI Systems Design, build, and evolve multi-agent systems and LLM-powered pipelines. You will: Design agent topologies - planner / executor, supervisor / worker, reflection loops, human-in-the-loop Build and extend agents using frameworks like LangGraph, Strands, and Agent SDKs Evolve … cost, latency, and quality per prompt, model, and client Build guardrails for prompt injection, PII, and output safety Drive prompt engineering practice - versioning, A / B testing, platform overlays 3. Cloud & Data Infrastructure Own the cloud substrate that runs the AI workloads. You will: Architect and maintain AWS infrastructure ...