Backend Developer - Node.js/Python

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.
  
  

(ref:hirist.tech)