Senior Engineer

We are seeking to onboard candidates with a track record of leading complex delivery, demonstrating technical depth and pragmatic leadership. You’re hands‐on when it matters, coach others effectively, and make clear design trade‐offs that improve customer and business outcomes. You communicate crisply, collaborate across functions, and keep teams focused on the few things that move the needle.

Professional experience in full-stack software engineering with evidence of architecting and delivering production systems at scale.

Proven experience mentoring and developing engineers and raising code quality standards.

Strong proficiency in one or more programming languages commonly used in engineering, such as Python or Java.

Extensive experience with database systems, including SQL and NoSQL databases.

In-depth knowledge of cloud data platforms like AWS or Azure (e.g., S3, Redshift, Glue, Data Factory, Azure Synapse, etc.).

Experience with CI/CD practices for data solutions.

Experience leveraging AI tools (GitHub Copilot, Claude etc) and building AI-enabled features (e.g., LLMs, automation workflows, prompt engineering, AI-assisted development) to enhance product capabilities and engineering productivity.

Proven ability to take ownership over outputs and drive complex data projects to completion.

Highly adaptable and comfortable working in ambiguous, problem-solving environments.

Strong evidence of teamwork and successful cross-functional delivery; including particularly with customers, Product, Marketing, and Sales.

Excellent communication, leadership, and collaboration skills.

Rigorous problem-solving and systems thinking. Breaks down complex problems, evaluates multiple approaches, and designs scalable, maintainable architectures.

Clean, performant, and secure code. Chooses suitable data structures, writes readable & defensive code, and bakes in performance and security from the start.

Test-first and observable engineering. Designs for testability, automates meaningful unit/integration tests, and implements robust logging, metrics, and monitoring.

Production and operations excellence. Understands CI/CD, infrastructure and cost drivers, engineers for reliable development, resilience, and fast recovery.

Data-driven, outcome-focused decisions. Validates ideas with data, plans for schema evaluation, and aligns features with real user impact.

Process - We have a rigorous, but streamlined recruitment process, which respects the time of candidates and portfolio companies alike. This process starts with a 15-minute call with our Talent Acquisition team and a member of the Engineering Centre of Excellence, followed by further interviews with the Engineering Centre of Excellence team.

Please note that our roles are primarily office based, with modern and well-connected office locations in both Andheri East and Navi Mumbai.

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