Cloud Developer

• 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/await 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.

• 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 GitOps‑based deployments to Kubernetes.

• Design high‑performance 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 cross‑cloud connectivity by designing and implementing networking and security integrations (e.g., VPNs, interconnects) between GCP‑based microservices and legacy Azure systems.

• Implement end‑to‑end 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 multi‑service request flows.

• Establish a unified automated testing strategy using Gherkin to bridge legacy monolithic regression suites and modern micr oservice‑level tests.

Location

Pune

Job Function

IT INFRASTRUCTURE SERVICES

Role

Developer

Job Id

422581

Desired Skills

Azure \| Python \| Cloud Azure

Desired Candidate Profile

Qualifications : BACHELOR OF TECHNOLOGY