Engineering Manager/ Service Delivery Manager

Ascendion; Bengaluru; Presencial; INR 2.500.000 - 3.800.000; Jornada completa

Descripción de la vacante

Ascendion Bengaluru is seeking an experienced Delivery Leader to own end-to-end software project delivery, ensuring quality, scope alignment, and timely execution within a dynamic environment.

You will drive Agile/Scrum practices, manage cross-functional teams, and communicate progress to stakeholders while identifying risks and optimizing delivery velocity. AI-enabled tools experience is a plus for productivity gains.

Formación

• Experience in Project/Technical Delivery Management.
• Strong knowledge of .NET technologies (C#, ASP.NET Core).
• Solid understanding of Agile methodologies and Scrum.
• Proven experience leading engineering teams and delivering software.
• Excellent communication and stakeholder management.
• Experience with risk management and escalation.
• Exposure to AI-powered development tools is a plus.

Responsabilidades

• Own end-to-end delivery of software projects, ensuring timely execution and quality.
• Demonstrate strong understanding of .NET technologies and SDLC.
• Drive Agile/Scrum practices and improve sprint planning and velocity.
• Lead cross-functional engineering teams and block blockers.
• Build relationships with client stakeholders and provide project visibility.
• Identify risks, manage dependencies, and implement mitigations.
• Use delivery metrics to drive continuous improvement and productivity.
• Explore AI-enabled tools to enhance code quality and testing efficiency.
• Ensure governance and release management adherence.

Conocimientos

Delivery management

C#, ASP.NET Core

Agile & Scrum

SDLC

Leadership

Stakeholder management

Risk management

AI tools awareness

Descripción del empleo

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 engineering teams, 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.
• Engineering Productivity & AI: Identify opportunities to leverage AI-enabled tools and engineering practices to improve developer productivity, code quality, testing efficiency, and delivery outcomes.
• Quality & Governance: Ensure adherence to engineering standards, 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 engineering principles and the end-to-end SDLC.
• Proven experience managing engineering teams 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 engineering productivity improvements is an advantage.