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Mid-level fullstack role, Pune metro, and broad AI-assisted engineering requirements drive high competition.
Core fullstack and cloud skills transfer well, but AI-agent and regulated-industry experience increase specificity.
Multiple mandatory technical skills, AI-fluency, on-call and cloud experience imply strict technical shortlisting.
Own the full software delivery lifecycle within a cross-functional pod, including design, development, testing, deployment, and production monitoring.
Leverage AI-assisted development tools as primary collaborators for code generation, testing, spec writing, and deployment while tuning AI agent workflows.
Ensure production system health by acting as initial on-call responder and mentoring junior developers alongside contributing to shared tooling and internal knowledge bases.
Strong proficiency in at least one: Java/Spring Boot, Python, .NET, Go, or Angular; ability to adapt and learn other technologies with AI assistance.
Solid engineering fundamentals including distributed systems, data structures, API design, databases, and cloud computing.
Experience with clean code practices, TDD, CI/CD, version control, production observability, monitoring, Docker/Kubernetes, microservices, and event-driven architectures.
Experience using AI-assisted development tools for code generation, pair programming, automated testing, with familiarity in agent systems and evaluation of AI-generated outputs.
Work Experience Required: Not explicitly mentioned in the JD.
Demonstrates strong AI fluency, engaging AI as the main software delivery mechanism and iteratively refining outputs via prompt engineering.
Operates effectively in a highly cross-functional, autonomous pod environment with shared ownership and continuous delivery (Kanban).
Possesses a strong engineering mindset emphasizing clean code, automation (CI/CD), and proactive ownership of end-to-end outcomes in AI-native software development contexts.