Position Summary :

Our Client is developing a next-generation Warehouse-as-a-Service platform on Google Cloud Platform (GCP).

We are seeking a Senior Analyst Back-End Developer with strong experience in building secure, scalable, and high-performance back-end services in a microservices architecture.

The ideal candidate will have deep expertise in GCP back-end services such as GKE, App Engine, Cloud Run, and Cloud Functions, along with experience in databases (AlloyDB, Cloud Spanner, Cloud SQL) and integration with front-end and external systems.

This role requires hands-on coding, API development, and close collaboration with front-end, DevOps, and architecture teams in a global environment.

This position is an on-site position for Chennai.

Experience & Qualifications :

- 6 to 8 years of back-end development experience, with at least 3+ years in senior/lead analyst roles.

- Proficiency in one or more back-end programming languages : Node.js, Python, or Java.

- Strong experience with GCP microservices deployments on GKE, App Engine, Cloud Run, and Cloud Functions.

- Deep knowledge of AlloyDB, Cloud Spanner, and Cloud SQL for schema design and query optimization.

- Experience in API development (REST/GraphQL) and integration best practices.

- Familiarity with Gemini Code Assist for code generation and CLI-based deployments.

- Understanding of Git-based CI/CD workflows and DevOps practices.

- Experience integrating AI tools into back-end workflows.

- Strong understanding of cloud security and compliance requirements.

- Excellent communication skills for working in a distributed/global team environment.

Key Responsibilities :

- Design, develop, and maintain microservices and APIs running on GKE, Cloud Run, App Engine, and Cloud Functions.

- Build secure, scalable REST and GraphQL APIs to support Our Client front-end applications and integrations.

- Work with the GCP Architect to ensure back-end design aligns with enterprise architecture and security best practices.

- Implement integration layers between GCP-hosted services, AlloyDB, Cloud Spanner, Cloud SQL, and third-party APIs.

- Deploy services using Gemini Code Assist, CLI tools, and Git-based CI/CD pipelines.

- Optimize service performance, scalability, and cost efficiency.

- Implement authentication, authorization, and role-based access control using GCP Identity Platform / IAM.

- Work with AI/ML services (e.g. , Vertex AI, Document AI, NLP APIs) to enable intelligent back-end capabilities.

- Collaborate with front-end developers to design efficient data contracts and API payloads.

- Participate in code reviews and enforce clean, maintainable coding standards.