Job Description

Our client is a global technology organization that develops enterprise software solutions used across industries to drive operational efficiency and data-driven decision-making. With teams spanning multiple continents, they focus on creating innovative, sustainable products that deliver measurable impact for their customers.About the RoleWe’re looking for an experienced Senior Delivery Manager to oversee and unify multiple engineering projects under one coordinated vision. This role will serve as a bridge between engineering, QA, DevOps, and product teams—ensuring that all delivery streams align on quality, timelines, and technical standards.You’ll manage global teams of engineers across onshore and offshore locations, driving execution through strong communication, agile leadership, and technical understanding. The role is 85–90% management-focused, but requires someone who can still be hands-on when needed—reviewing or contributing to code, debugging, or assisting with architecture decisions.Key ResponsibilitiesLead project execution across multiple engineering teams, ensuring consistency, efficiency, and alignment with business goals.Drive agile delivery processes, sprint planning, and backlog management across distributed teams.Oversee software delivery performance metrics (velocity, quality, defect rates, utilization).Review and validate technical deliverables; ensure adherence to best practices and architecture standards.Collaborate closely with QA, DevOps, and Product to maintain cross-functional alignment.Champion the integration of AI agents and agentic AI tools into development and delivery processes.Foster a culture of ownership, transparency, and continuous improvement across teams.Required Experience8+ years of experience in software engineering, technical program management, or delivery leadership.3+ years managing global or distributed engineering teams (15–20+ engineers, QA, DevOps).Strong technical foundation in modern full-stack development (TypeScript, .NET Core, Azure, SQL Server).Experience leading hybrid onshore/offshore teams in a SaaS or enterprise environment.Proven ability to manage complex technical programs through metrics and process optimization.Hands-on experience with AI agents or agentic AI systems (e.g., GitHub Copilot, MS Copilot, or similar).Preferred SkillsExperience in high-growth or transformation-stage software companies.Familiarity with agile frameworks, DevOps tooling, and performance monitoring.Exposure to cloud-native architectures and intelligent automation frameworks.Excellent communication skills and the ability to lead through influence.This is a great opportunity for a technically grounded leader who enjoys managing large-scale software delivery while staying close to the engineering process.

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