Senior Cloud Native GCP Engineer

14 hours ago

London, United Kingdom Experis UK Full time

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

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