Senior Cloud Native GCP Engineer

Job Title: Senior Cloud Native GCP Engineer

Max Supplier Charge Rate: £825p/d max via Umbrella

Clearance required: BPSS

Duration: End of April 2026

Location: Hybrid (60% remote-40% onsite London) but client teams are mostly remote.

Job Description:

A senior engineer to join a modern engineering practice across commercial trading business of a multi‑brand retailer. This role requires deep hands‑on experience across open‑source development stacks, cloud‑native architecture using Google Cloud services and strong capability in driving automation, observability, and platform excellence.

Key responsibilities

• Lead the design and implementation of microservices‑based architecture to build scalable, secure, and maintainable applications.
• Develop, deploy, and maintain microservices using Spring Boot, Node.js, React Deploy, manage, and scale applications in Google Cloud Platform (GCP) environments
• Implement cloud‑native solutions using containerization technologies like Docker and orchestration tools such as Kubernetes (GKE)
• Drive automation across the SDLC using CI/CD pipelines, GitOps, and modern DevSecOps workflows (e.g., Jenkins, GitLab CI, GitHub Actions)
• Use Infrastructure‑as‑Code (IaC) with Terraform for provisioning and environment consistency
• Collaborate with architects and product teams to design robust and future‑ready solutions
• Champion engineering excellence, clean code practices, observability, and shift‑left security
• Work with the junior engineers to uplift development standards across squads
• Lead the path for introducing AI / GenAI tooling for driving adoption across each phase of SDLC (analysis, design, development, testing and deployment)

Essential Skills & Experience

• Strong back‑end development experience using Spring Boot and microservices patterns
• Front‑end development exposure with frameworks like React or Angular (nice to have)
• Hands‑on experience with Google Cloud core services (e.g., GKE, Cloud Run, Pub/Sub, BigQuery, IAM) Solid expertise in Terraform and Infrastructure‑as‑Code practices Strong CI/CD and DevOps toolchain knowledge: GitLab CI, Jenkins, GitHub Actions, ArgoCD, etc.
• Deep understanding of containerization (Docker) and Kubernetes deployments
• Familiarity with security, observability (e.g. OpenTelemetry, Stackdriver), and SRE principles
• Experience in integrating AI/GenAI tools (e.g., Gemini Code Assist, LangChain) into engineering workflows
• Worked in enterprise transformation programs involving both legacy and modern tech stacks
• Experience with service mesh (e.g., Istio) and API gateways
• Contributions to open‑source or engineering communities