Job Description

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

6–8 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.

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