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Overview
Lead / Manager

Engineering Manager, Continuous Delivery

Confirmed live in the last 24 hours

GitLab

GitLab

Remote, India
Remote
Posted April 1, 2026

Job Description

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.

The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.

*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.

An overview of this role

As Engineering Manager for GitLab CD, you'll build and lead a brand-new, globally distributed team at the forefront of GitLab's next generation of Continuous Deployment capabilities. This is a greenfield opportunity: you'll hire foundational engineers, shape the team's culture and ways of working, and own delivery of a first-class CD product within GitLab's DevSecOps platform.

Your team will build a CD engine that goes beyond script execution—bringing true reconciliation, live state awareness, durable orchestration, and AI-native governance to GitLab's platform. The goal is to deliver features that enable customers to deploy software reliably, safely, and with confidence. This work sits at the intersection of GitLab's core platform and its AI strategy, making it a high-visibility, fast-moving area of the product.

You'll partner closely with Product Management, cross-functional engineering teams, and infrastructure stakeholders to align technical decisions with customer needs and business goals, while building a team culture grounded in GitLab's values.

What you'll do

  • Build and lead a new globally distributed engineering team, creating an environment where team members can do their best work and grow their careers.
  • Hire, onboard, and develop engineers who embody GitLab's values and hold themselves to a high standard of quality and ownership.
  • Partner with Product Management and cross-functional engineering teams to shape the roadmap, make sound architectural decisions, and deliver against product commitments.
  • Foster a culture of engineering excellence across reliability, performance, security, and maintainability, while keeping the pace expected in a fast-moving product area.
  • Champion AI as a core part of how the team works, encouraging engineers to incorporate AI tools into their daily workflows to drive efficiency and innovation.
  • Hold regular 1:1s, provide continuous feedback, and support engineers' professional growth through coaching and skill development.
  • Drive a healthy delivery cadence by maintaining visibility into milestone progress, identifying blockers early, and proactively addressing patterns before they require escalation.
  • Participate in the Incident Management on-call rotation to help ensure availability targets for GitLab.com are met.

What you'll bring

  • Demonstrated leadership experience managing high-performing engineering teams, with hands-on technical credibility to provide architectural guidance and participate meaningfully in technical discussions.
  • Strong background in distributed systems and durable workflow execution, including state persistence and replay patterns.
  • Experience building or leading teams working on release orchestration, deployment automation, or continuous delivery at scale.
  • Familiarity with Kubernetes dep
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