Forward Deployed Engnieer - META

An overview of this role

As a Staff Forward Deployed Engineer at GitLab, you will work at the intersection of customer outcomes, product direction, and hands-on engineering. This role is focused on strategic accounts in the APJ region, where you will help customers adopt GitLab and the GitLab Duo Agent Platform in complex enterprise environments, including self-managed, regulated, and constrained deployments. You will guide deep technical discovery, design practical adoption paths, and build reusable solutions that help customers move from early platform use into broader CI/CD, security, compliance, and AI-enabled workflows.

This is not a traditional consulting role centered on one-off delivery. Instead, you will use customer issues to create durable technical assets, shape architecture patterns, and influence upstream product and engineering decisions when field needs point to a broader solution. Your work will help reduce time to value for strategic customers while improving how GitLab scales adoption across similar environments.

Some examples of our projects:

• Building a regulated-environment deployment accelerator for GitLab Duo Agent Platform in self-managed or constrained environments
• Authoring reusable reference architectures for AI Gateway, identity, runners, network boundaries, model connectivity, and governance controls
• Identifying a geo-replication gap in a self-managed deployment, tracing it to a root cause in Gitaly or the git backend, and contributing a targeted code or design change upstream

What you’ll do

• Conduct deep technical discovery in selected strategic accounts to assess platform readiness, evaluate constraints, and identify high-value adoption opportunities across GitLab and GitLab Duo Agent Platform.
• Lead architecture and delivery design for complex enterprise environments where platform migration, regulated requirements, and product boundaries intersect.
• Partner with customer stakeholders and GitLab account teams to prioritize use cases based on business impact, technical feasibility, repeatability, and long-term platform value.
• Design and build bounded proofs, prototypes, deployment patterns, and reusable accelerators across source code management, CI/CD, security, compliance, and AI-enabled workflows.
• Architect self-managed and enterprise deployments, including runners, access controls, network boundaries, observability, AI Gateway, model connectivity