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.