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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.
Job Responsibility:
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)
Requirements:
8+ years of software engineering experience, including recent work in a lead engineer capacity
Strong back-end development experience using Spring Boot and microservices patterns
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
Nice to have:
Front-end development exposure with frameworks like React or Angular