Associate Director - Software Engineering

Overview

Technical leader responsible for the design, delivery, and continuous improvement of software and data engineering solutions, combining hands-on technical depth with people leadership to set direction, grow talent, and deliver scalable, high-quality systems.

What you'll do

• Own the technical vision and architecture for software and data engineering initiatives, ensuring solutions are scalable, secure, and built to a high engineering bar.
• Lead, mentor, and grow a team of software and data engineers; build a culture of ownership, craftsmanship, and continuous learning.
• Maintain a solid working knowledge of software engineering (languages, frameworks, design patterns, distributed systems) and data engineering (pipelines, data modelling, storage) to guide design decisions and unblock complex technical problems.
• Track emerging technologies and industry trends, and translate them into a forward-looking roadmap for the team's tools, architecture, and capabilities.
• Champion the use of AI in day-to-day engineering work, including coding assistants, automated testing, intelligent monitoring, and AI-assisted decision-making, to improve team velocity, code quality, and operational efficiency.
• Partner with product and program stakeholders to plan, estimate, and deliver engineering initiatives on time and to a high quality bar.
• Establish and enforce engineering best practices across the team, including code review, CI/CD, testing, observability, and security.
• Work closely with product managers, architects, and other engineering leads to align technical solutions with business priorities.

What you'll need

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 10+ years of software experience, including 2+ years leading an engineering team.
• Hands-on experience in fullstack cloud application development.
• Solid grounding in software engineering concepts (data structures, algorithms, design patterns, distributed systems) and data engineering concepts (ETL/ELT, pipelines, data modelling, warehousing).
• Demonstrated experience leveraging AI tools (e.g., AI coding assistants, AI-based testing or monitoring tools) to improve day-to-day engineering efficiency.
• Proven ability to set technical direction and a forward-looking roadmap for a team.
• Working knowledge of SDLC, CI/CD, cloud platforms, and API-based architectures.

Nice to have

• Experience with cloud-native architectures and DevSecOps practices.
• Exposure to MLOps or building AI/ML-powered product features.
• Experience in regulated environments (GxP, SOX, CSV/CSA).
• Experience leading engineering teams in global, matrixed organizations.

Details

• Location: Bengaluru, India.
• Up to 10% travel, including international.