Key Responsibilities
Product Ownership: Drive end-to-end product development, taking features from concept to production with minimal supervision.
Iterative Development: Build, ship, and iterate rapidly to meet business deadlines and user requirements.
Cross-functional Collaboration: Collaborate closely with product managers and designers to translate user needs into technical specifications and acceptance criteria.
Software Craftsmanship: Write high-quality, scalable code and ensure the performance and maintainability of the codebase.
Technical Problem Solving: Analyse complex systems and resolve technical issues from development to production.
AI-Augmented Software Development: Use AI coding assistants and agents to accelerate development of product features. Generate, review, and refine code produced by AI tools.
Validation: Take full responsibility of unit testing and ensure bug free code is delivered. Also, validate correctness, security, and performance of AI-generated code.

Product Component Development
Design and implement: Microservices, APIs and integration services, Data pipelines, Event-driven architectures, Domain services
Ensure all components are: Scalable, Observable, Secure, Cloud-ready and are maintainable for long-term.
AI Agent Orchestration:



Use up-to-date AI frameworks to automate engineering workflows such as: Code generation, Test creation, Documentation, Refactoring, Debugging
Quality Engineering: Ensure high product quality by reviewing AI-generated code, writing automated tests, performing performance and security reviews
Continuous Delivery and DevOps: Work with contemporary DevOps practices which includes adhering to defined CI/CD pipelines and building all components for cloud-native deployment.

Required Skills
Solid experience in at least one major programming language such as: Java, Python, Go, TypeScript
Experience with Microservices architecture, REST / GraphQL APIs, Distributed systems, Databases (SQL and NoSQL)
Experience using AI engineering tools such as GitHub Copilot, Cursor, Claude, etc.
Ability to evaluate AI-generated code, integrate AI tools into development workflows
Experience with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform with focus on containers and orchestration, infrastructure automation and observability tools

Desired Skills
Domain-driven design
Platform engineering
AI/ML system integration
Event-driven architectures
Product thinking

📌 Product Engineer Bengaluru
🏢 Deloitte Shared Services India
📍 Bengaluru