Migration Engineer - GitLab Dedicated

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 a Migration Engineer for GitLab Dedicated, you'll partner with customers to plan and deliver migrations from self-managed GitLab to GitLab Dedicated. You'll use GitLab Geo to replicate customer data and move customers onto fully managed, isolated GitLab environments with minimal disruption. You'll balance hands-on technical delivery with clear communication and project ownership, translating each customer's goals, timelines, and constraints into a practical plan and guiding them through cutover and validation.

You'll use infrastructure as code and configuration as code practices, Kubernetes, cloud platforms, and network design to work within existing GitLab Dedicated environments. You'll also improve the tooling, scripts, and runbooks that make migrations repeatable and reduce manual work, while sharing insights from customer engagements with GitLab's Product and Engineering teams.

Lead migrations from self-managed GitLab to GitLab Dedicated using GitLab Geo to replicate customer data

Design migration runbooks and automation for repeatable cutovers, and validate target environments built with Terraform, Ansible, and Kubernetes

What you’ll do

Deliver customer migrations from initial assessment through planning, replication, cutover, and post-migration validation.

Use GitLab Geo to replicate customer data, debug synchronization issues, identify root causes, and keep migrations on track.

Design customer network connectivity within GitLab Dedicated constraints, including virtual private clouds, private connectivity, Domain Name System configuration, and firewall rules.

Apply infrastructure as code and configuration as code practices to interact with and validate existing GitLab Dedicated environments.

Advise customers on migration sequencing, cutover windows, integration requirements, risks, and clear next steps.

Improve migration tooling, scripts, and runbooks to make delivery more reliable, repeatable, and efficient.

Partner with Professional Services, Environment Automation, Product, and Engineering to resolve blockers, share field feedback, and keep delivery consistent.

Manage multiple customer engagements while balancing customer outcomes, delivery priorities, and share technical knowledge with other engineers.

What you’ll bring

Experience delivering customer-facing migration, installation, training, or technical advisory engagements.

Experience using, deploying, or configuring GitLab, with a solid understanding of Git and source control workflows.

Experience with infrastructure as code or configuration as code tools such as Terraform, Ansible, Packer, Puppet, or Chef.

Hands-on experience running Kubernetes workloads in production, including deployments, rollouts, and debugging crash loops, failed health checks, and scheduling issues.

Experience with a major cloud provider such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, along with working knowledge of network design and connectivity.

Ability to read, understand, and modify infrastructure tooling, with familiarity in languages such as Go, Python, or Ruby.