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.
Experience & Qualifications
- 68 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.
Skills:- Google Cloud Platform (GCP), NodeJS (Node.js), Python, Java, API and Microservices
