Cloud Developer

Tata Consultancy Services; Hyderabad, Pune District, Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tata Consultancy Services is hiring a Cloud Developer to design and build cloud-native applications using Python, with a focus on REST APIs and data processing. You will work across GCP, AWS, and Azure, contributing to scalable microservices in distributed environments.

Responsibilities include containerization with Docker and Kubernetes (GKE), implementing CI/CD pipelines, and building secure cross-cloud integrations.

Qualifications

• Strong proficiency in Python for application development, data processing, and automation, REST APIs with FastAPI/Flask.
• Hands-on experience with cloud-based deployment and data services across GCP/AWS/Azure.
• Build high-concurrency REST APIs using Python with async/await and proper CORS/middleware.
• Expertise in GCP networking, IAM, VPC, cost optimization, and security in distributed environments.

Skills

Python

Cloud (GCP/AWS/Azure)

FastAPI/Flask REST APIs

Async programming

GCP networking and security

CI/CD pipelines

Kubernetes (GKE)

PostgreSQL/SQL

YAML/JSON configurations

Prometheus/Grafana observability

Tools

Docker

Kubernetes (GKE)

Apigee

PostgreSQL

Prometheus

Grafana

GitOps

Job description

Greeting from TCS

We are looking for

Role: Cloud Developer

Required Technical Skill Set: Cloud (GCP Preferred/AWS/Azure)

Python

Desired Experience Range: 3-8 yrs of experience

Location of Requirement: Pune, Hyderabad, Chennai, Bangalore

Must-Have

• Strong proficiency in Python for application development, data processing, and automation, Ability to build and consume REST APIs using frameworks like FastAPI or Flask.
• Experience working with structured, semi-structured, and unstructured data Hands-on experience with cloud-based application deployment and data services
• Build high-concurrency, asynchronous REST APIs using Python and FastAPI, leveraging async/wait for non-blocking I/O and configuring CORS and middleware integrations for gateway compatibility.
• Apply deep expertise in GCP networking and security, including VPC architecture, subnet isolation, Cloud Load Balancing, IAM, Workload Identity, and resource quota and cost optimization in distributed environments.

Good-to-Have

• GCP preferred
• Configure Apigee as a centralized API gateway to act as the single-entry point for microservices, handling routing, protocol translation (REST gRPC), authentication and authorization (OAuth/JWT), rate limiting, and API versioning.
• Containerize applications using efficient Dockerfiles and orchestrate deployments on Google Kubernetes Engine (GKE), including defining Pods, Services, and Ingress, implementing auto-scaling, enabling zero-downtime rolling updates, and managing service discovery
• Lead the transition from infrequent, manual monolithic releases to frequent, automated microservice deployments by designing CI/CD pipelines that support automated testing, secure Docker image builds, vulnerability scanning, and GitOpsbased deployments to Kubernetes.
• Design highperformance NoSQL document schemas optimized for high read/write workloads, enabling distributed state management without shared database bottlenecks.
• Strong knowledge of SQL including complex joins, subqueries, CTEs, and window functions.Hands-on experience with PostgreSQL or equivalent relational databases
• Author and manage complex YAML and JSON configurations across Kubernetes manifests, CI/CD pipelines, and cloud infrastructure templates, ensuring consistency, validation, linting, and version control across development, staging, and production environments.
• Enable secure crosscloud connectivity by designing and implementing networking and security integrations (e.g., VPNs, interconnects) between GCPbased microservices and legacy Azure systems.
• Implement endtoend observability in distributed systems by instrumenting microservices, configuring Prometheus for metrics collection, and building Grafana dashboards to monitor service health, latency, and error rates across multiservice request flows.
• Establish a unified automated testing strategy using Gherkin to bridge legacy monolithic regression suites and modern microservicelevel tests.