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
