About the role
We are looking for a Senior Director - Java Engineering to lead large-scale engineering teams, drive AI-powered technology initiatives, and build enterprise-grade solutions for the BFSI domain. The ideal candidate should have strong leadership experience, be hands-on with coding and architecture, and possess a proven track record of delivering scalable, secure, and high-performance applications.
Responsibilities:
- Lead and mentor engineering managers, architects, and development teams.
- Drive technology strategy, engineering excellence, and product innovation.
- Design and develop scalable applications using Java and modern microservices architecture.
- Champion AI/ML adoption and integrate AI-driven solutions into business platforms.
- Collaborate with business stakeholders, product teams, and senior leadership.
- Ensure security, compliance, and regulatory standards within BFSI applications.
- Establish best practices for software development, code quality, DevOps, and cloud adoption.
- Manage end-to-end delivery of complex enterprise programs.
Requirements:
- 14+ years of software engineering experience with strong expertise in Java.
- Hands-on coding experience with Core Java, Spring Boot, Microservices, REST APIs, and Distributed Systems.
- Experience leading large engineering teams (50+ members) and managing managers.
- Strong understanding of AI/ML concepts, Generative AI, LLMs, AI agents, and AI-driven product development.
- Experience with Cloud platforms (AWS, Azure, or GCP).
- Expertise in System Design, Architecture, Performance Optimisation, and Scalability.
- Experience with DevOps, CI/CD, Containerization (Docker, Kubernetes).
- Strong stakeholder management and executive communication skills.
Preferred Qualifications:
- Extensive experience in BFSI domain projects and digital transformation initiatives.
- Experience with data platforms, analytics, fraud detection, risk management, or fintech solutions.
- An MBA or Master's degree is an added advantage.
Ideal Candidate:
- Engineering leader with a strong technical background and hands-on development expertise.
- Proven experience driving AI initiatives within enterprise environments.
- Ability to balance strategic leadership with deep technical involvement.
- Strong people management, delivery management, and business acumen.