Director - Engineering

Key Responsibilities

• Recruit, develop, and manage individual roles and people leaders across engineering, QA, product ownership, and support.
• Build high performing squads in Pune with strong delivery discipline and clear engineering career pathways.
• Ensure all squads deliver consistently against workflows provided by UK based Directors of Product, Delivery, QA, and Support and Onboarding. 
• Shape and evolve the dual reporting model as the India organisation grows in size and maturity.
• Create a high trust, high performance, psychologically safe culture grounded in servant leadership and stoic principles. 

• Provide technical direction and guidance to global colleagues including teams based in the UK and US.
• Work closely with Director of Engineering and Architecture to set consistent engineering standards, coding practices, architectural approaches, and quality expectations across all C&T squads regardless of location.
• Ensure engineering excellence across cloud engineering, enterprise SaaS, insurance technology, and other regulated software domains 
• Provide hands on technical insight when required, while operating primarily as a senior leader 
• Embed modern engineering practices influenced by AI including AI supported development workflows, automation, and engineering efficiency improvements 

• Position Pune as the global Centre of Excellence for AI oriented engineering within C&T 
• Lead the adoption of AI enhanced tools, processes, and engineering methods across all squads
• Manage AI focused engineers and specialists, ensuring safe, effective, and value driven use of AI within engineering processes 

• Act as a named technical authority for presales opportunities globally 
• Represent C&T engineering in client conversations to explain the art of the possible from a technical and architectural perspective. 
• Support presales colleagues based in the UK, US, and other regions with solution shaping, feasibility analysis, and technical narratives Collaboration and Influence 
• Operate as a senior member of the C&T leadership team contributing to strategy, planning, and decision making 
• Work closely with UK based peers to align priorities and ensure consistent global engineering execution 
• Promote a culture of empathy, accountability, continuous improvement, and shared ownership across India and global teams  

Skills, Knowledge and Expertise

• Bachelor’s degree in Computer Science, IT, Engineering, or a related field.
• Extensive hands-on engineering experience, followed by 15+ years of overall engineering leadership
• 10+ years of experience leading managers and senior engineering leaders across multiple geographies

• Deep engineering background with proven experience in hands on software development earlier in career.
• Strong awareness of cloud engineering, enterprise SaaS platforms, security standards, scalable architectures, and quality engineering 
• Experience working with technology stacks used in large scale B2B software delivery 
• Experience managing or guiding architects and senior engineers.

• Strong understanding of how AI transforms engineering workflows, team structures, and software lifecycle practices.
• Experience managing AI practitioners, AI adoption readiness, or AI augmented engineering environments.
• Not required to be an AI engineer, but must be highly AI fluent and deeply aligned with AI driven engineering evolution 

• Proven ability to build and scale engineering organisations including leadership of people leaders.
• Comfortable managing India based teams while influencing colleagues globally.
• Experience working in matrixed environments with dual reporting or distributed authority models.
• Ability to coach, mentor, and grow talent at multiple levels of seniority 

• Excellent communicator able to work across time zones, cultures, and disciplines 
• Confident in presales, client facing conversations, and executive level discussions 

• Establish Pune as the primary engineering hub for C&T with expanding capacity across engineering, QA, product ownership, support, and architecture 
• Scale the Centre of Excellence for AI oriented engineering to accelerate product innovation, delivery speed, and quality 
• Drive continuous improvement through modern engineering practices, AI augmented workflows, and global collaboration