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Niche GenAI skills but metro location and mid-level seniority increase competition.
Strong ML platform focus increases domain specificity but cloud skills remain transferable.
Multiple mandatory technologies and explicit years requirement make filters stringent.
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Design, develop, and improve cloud-native distributed software platforms with ownership of platform subsystems end-to-end.
Collaborate cross-functionally to define, integrate, and deliver high-quality, scalable API and microservice solutions using Python (FastAPI/asyncio), Go, or Java in AWS Kubernetes environments.
Lead complex problem-solving involving data analysis, risk mitigation, secure coding, and influence stakeholders to align technology solutions with business objectives.
3+ years experience designing and owning cloud-native distributed systems and platform subsystems.
Strong proficiency in Python (FastAPI/asyncio), Go, or Java for production APIs and microservices.
Experience with AWS cloud services at scale, including Kubernetes (EKS), Bedrock, IAM, RDS/Aurora, and deployment strategies.
Location requirement: Bengaluru or Pune office.
Experienced in GenAI/Agentic AI frameworks such as LangGraph/LangChain or Google ADK, with understanding of RAG pipelines and LLM integration.
Familiarity with API gateway platforms like Envoy Proxy, OPA/Rego policy-as-code, and AI safety controls (guardrails, prompt injection defense).
Capable of leading teams or projects with complex cross-functional collaboration, security-focused engineering, and influencing decision-making at senior levels.