Director, Full Stack Engineer

Director, Full Stack Engineer We’re seeking a future team member for the role of Director, Full Stack Engineer. This role will be based in Pune. In this role, you’ll make an impact in the following ways: Multiply team impact through hands‑on technical leadership, mentorship, and setting a high engineering bar Build trust, share credit, and strengthen cross-functional execution Design and build fit‑for‑purpose architectures that balance simplicity, quality, scale, and security Simplify systems and workflows by removing friction, toil, and unnecessary handoffs Create durable reusable patterns, guardrails, and tooling that accelerate team delivery Quickly ramps-up in new domains, technologies, and problem spaces, adapting as needs evolve Apply strong engineering fundamentals across software design, data, testing, and distributed systems Use AI-enabled tools deliberately across design, coding, testing, review, and documentation, while keeping strong human accountability for high‑risk decisions, verification, and final quality Build software with a reliability‑first mindset, incorporating secure coding practices, observability, testing, and disciplined rollout/rollback strategies Ensure production systems meet required levels of resiliency, performance, scalability, and operability

To be successful in this role, we’re seeking the following: Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience; advanced degree a plus. 12+ years of professional software development experience, with demonstrated depth in full‑stack engineering and system / application architecture. Prior experience in securities, financial services, or modern engineering-first organizations is a plus Strong proficiency in Java, Spring Boot, SQL, and the design of RESTful and streaming‑based APIs. Hands‑on experience delivering cloud‑native solutions, including microservices, containerization, and modern deployment patterns. Working knowledge of NoSQL and distributed data stores, selected and applied appropriately at scale. Experience leveraging AI‑enabled capabilities—including GenAI or ML‑driven services—to enhance developer productivity, system intelligence, or customer outcomes, with a pragmatic understanding of responsible use, scalability, and integration into enterprise platforms.