
Director, Engineering, Application Modernization
- Gurgaon, Haryana
- Permanent
- Full-time
- Lead and Inspire: Drive multiple globally distributed engineering teams, fostering a culture of innovation, accountability, and growth
- Set Vision: Define and execute the engineering strategy for our modernization platform, aligning with business outcomes and pushing the frontier of AI-driven modernization
- Own the Platform: Take full ownership of the Application Modernization platform-design, delivery, and operational excellence of customer-facing features
- Accelerate with AI: Champion the integration of AI-powered code translation, refactoring, and migration tooling, ensuring MongoDB becomes the easiest and smartest modernization path for enterprises
- Modernize Legacy Stacks: Lead the transformation of legacy relational and monolithic applications into modern, distributed, cloud-native architectures built on MongoDB Atlas
- Raise the Bar: Establish best practices in distributed systems design, database migrations, performance optimization, and operational excellence
- Database Expertise: Apply deep knowledge of relational (Oracle, SQL Server, Postgres, MySQL) and non-relational/document systems to help customers transition to a modern data stack
- Talent Builder: Hire, mentor, and grow world-class engineering leaders and ICs, ensuring career progression and strong technical vision
- Cross-Functional Influence: Partner with Product, Field Engineering, Data Science, Sales, and executives to align priorities and maximize customer impact
- Innovate and Experiment: Drive proof-of-concepts with emerging AI/ML technologies and strategic technology partnerships
- Be a Force Multiplier: Remove blockers, amplify team impact, and create an environment where engineers can do the best work of their careers
- Distributed Systems Expertise: Proven track record of building and scaling large-scale, distributed systems with strong performance, resilience, and reliability requirements
- Database Depth: Hands-on expertise with relational and non-relational systems, with practical knowledge of schema design, database migrations, and performance tuning
- Enterprise Scale Leadership: 10+ years leading engineering teams (including leaders-of-leaders) across globally distributed locations
- AI Mindset: Experience (or strong passion) for building AI-powered applications and developer tools