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Tier-1 brand, mid-level generalist title, metro location, and broad full-stack skillset increase competitiveness.
Core Python, cloud, and microservices skills are broadly transferable across industries.
Explicit 5+ years and mandatory Python, cloud, Docker, and Kubernetes skills enforce strict screening.
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Design, develop, and maintain scalable full-stack or backend applications and services primarily using Python frameworks such as FastAPI, Flask, or Django.
Build and integrate APIs, microservices, and distributed systems leveraging REST, gRPC, Kafka, and deploy using CI/CD pipelines with Docker, Kubernetes on cloud platforms (AWS/GCP).
Collaborate with cross-functional teams to deliver secure, reliable, maintainable software solutions with opportunities to contribute to AI-enabled applications and agentic solutions.
Minimum 5+ years of software engineering experience with strong Python development skills.
Experience in full-stack or backend development with knowledge of CI/CD, DevOps practices, and container orchestration (Docker, Kubernetes).
Hands-on experience with cloud platforms such as AWS or GCP, APIs, microservices, and SQL/NoSQL databases.
Work Experience Required: 5+ years; Notice Period: Not explicitly mentioned in the JD.
Experienced in building and scaling production-grade backend/full-stack systems in cloud environments with strong engineering best practices.
Comfortable working with distributed systems, APIs, and modern DevOps/CI-CD pipelines at scale.
Familiarity with AI frameworks (OpenAI SDK, LangChain), AI-assisted software development, or platform engineering indicates higher strategic fit.