Product Engineer

Deloitte Shared Services India; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Deloitte Shared Services India is seeking an experienced engineer to own end-to-end product development, from concept to production, with a focus on AI-augmented software delivery.

You will drive iterative development, collaborate with cross-functional teams, and ensure code quality, performance, and security across cloud-native microservices, APIs, and data pipelines.

Qualifications

• Proficiency in one major language (Java, Python, Go or TypeScript).
• Experience with microservices, REST/GraphQL, distributed systems, and SQL/NoSQL databases.
• Familiarity with AI engineering tools and integrating AI into development workflows.
• Experience with cloud platforms and container orchestration (containers, observability).

Responsibilities

• Drive end-to-end product development from concept to production with minimal supervision.
• Build, ship, and iterate rapidly to meet deadlines and user needs.
• Collaborate with product managers and designers to translate requirements into specs and acceptance criteria.
• Write high-quality, scalable code ensuring performance and maintainability.
• Analyse complex systems to resolve technical issues from development to production.
• Use AI agents to accelerate engineering workflows like code generation, testing and documentation.

Skills

Java

Python

Go

TypeScript

Microservices

REST APIs

GraphQL

Distributed systems

SQL

NoSQL

Tools

GitHub Copilot

Cursor

Claude

AWS

Azure

GCP

Kubernetes

Job description

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 modern 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 modern DevOps practices which includes adhering to defined CI/CD pipelines and building all components for cloud-native deployment.

Required Skills

• Strong 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