Join a pioneering product engineering team tasked with transforming innovative concepts into market-ready products. This role offers a unique opportunity to leverage AI as a force multiplier, blending robust software engineering principles with cutting-edge AI tools. Focus on system thinking, architecture, validation, and product ownership to drive the next generation of our offerings.

As an integral part of our dynamic and collaborative environment, you will contribute to high-impact projects. Deloitte provides unparalleled avenues for professional growth and success, enabling you to realize your full potential in a culture of inclusion and high performance.

Drive the entire product development lifecycle, from initial concept through to production deployment with minimal oversight.

Embrace iterative development to rapidly build, deploy, and refine features, ensuring timely delivery against business objectives and user expectations.

Collaborate closely with product managers and designers to translate user needs into precise technical specifications and acceptance criteria.

Uphold high standards of software craftsmanship by writing scalable, high-quality code and maintaining optimal performance and maintainability of the codebase.

Apply analytical skills to dissect complex systems and effectively resolve technical challenges across development and production environments.

Utilize AI coding assistants and agents to expedite the development of product features, including generating, reviewing, and refining AI-produced code.

Take complete ownership of unit testing to guarantee the delivery of bug-free code, and meticulously validate the correctness, security, and performance of AI-generated code.

Develop and implement robust microservices, APIs, integration services, data pipelines, event-driven architectures, and domain services.

Ensure all developed components are designed for scalability, observability, security, and cloud-native deployment, facilitating long-term maintainability.

Leverage modern AI frameworks to automate engineering workflows, encompassing code generation, test creation, documentation, refactoring, and debugging.

Maintain exceptional product quality through diligent review of AI-generated code, development of automated tests, and execution of performance and security assessments.

Adhere to contemporary DevOps practices, including compliance with defined CI/CD pipelines and building all components for cloud-native deployment.

Demonstrate strong proficiency in at least one major programming language such as Java, Python, Go, or TypeScript.

Possess experience with microservices architecture, REST/GraphQL APIs, distributed systems, and both SQL and NoSQL databases.

Have experience utilizing AI engineering tools like GitHub Copilot, Cursor, or Claude.

Exhibit the ability to evaluate AI-generated code and seamlessly integrate AI tools into development workflows.

Showcase experience with cloud platforms like AWS, Azure, or GCP, with a focus on containers, orchestration, infrastructure automation, and observability tools.