Engineering Manager/ Service Delivery Manager

Key Responsibility Areas:

• Project & Technical Delivery: Own end-to-end delivery of software projects, ensuring timely execution, quality, scope management, and alignment with business objectives.
• Technical Leadership: Demonstrate a strong understanding of software development practices, .NET technologies, application architecture, and the software development lifecycle (SDLC).
• Agile & Scrum Management: Drive Agile/Scrum practices, facilitate effective ceremonies, improve sprint planning and execution, and enhance team velocity and delivery predictability.
• Team Leadership & Accountability: Lead cross-functional engineeringteams, establish clear ownership, remove blockers, and drive teams toward committed delivery outcomes.
• Stakeholder Management: Build strong relationships with client stakeholders, communicate delivery progress, manage expectations, and provide clear visibility into risks and dependencies.
• Risk & Dependency Management: Proactively identify delivery risks, manage dependencies, develop mitigation plans, and resolve escalations effectively.
• Continuous Improvement: Use delivery metrics, sprint performance, team velocity, and quality indicators to identify improvement opportunities and strengthen execution.
• EngineeringProductivity & AI: Identify opportunities to leverage AI-enabled tools and engineeringpractices to improve developer productivity, code quality, testing efficiency, and delivery outcomes.
• Quality & Governance: Ensure adherence to engineeringstandards, delivery governance, release management processes, and continuous improvement practices.

Required Skills & Qualifications

• Strong experience in Project Delivery / Technical Delivery Management.
• Good understanding of .NET technologies, including C#, ASP.NET Core, .NET Core, and Web API.
• Strong knowledge of Agile methodologies and Scrum practices.
• Solid understanding of software engineeringprinciples and the end-to-end SDLC.
• Proven experience managing engineeringteams and delivering software projects.
• Excellent communication, stakeholder management, and leadership skills.
• Experience with risk management, dependency tracking, issue resolution, and escalation management.
• Ability to track delivery metrics, improve team performance, and drive continuous improvement.
• Exposure to AI-powered development tools and engineeringproductivity improvements is an advantage.