# Forward Deployed Engnieer - META **Company**: GitLab **Location**: Remote **Work arrangement**: remote **Experience**: staff **Job type**: full-time **Category**: Engineering **Industry**: Technology **Apply**: https://job-boards.greenhouse.io/gitlab/jobs/8524783002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_b5aec916-8ba ## Description 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 Responsibilities: - 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, and governance controls. - Turn recurring field patterns into reusable assets such as runbooks, templates, design notes, technical guidance, product briefs, and reference architectures that can be used across accounts. - Contribute code, technical designs, or architecture changes when strategically necessary, in partnership with product and engineering, to address blockers that should be solved upstream. - Travel as needed for strategic customer engagements, architecture workshops, and team coordination, with expected travel up to 50%. Requirements: - Experience in software engineering, platform architecture, forward deployed engineering, technical consulting, or similar customer-facing engineering roles. - Strong software engineering fundamentals, including the ability to read, reason about, and contribute to production systems, ideally with experience in Ruby on Rails and/or Go. - Strong systems design and software architecture skills, with experience evaluating APIs, asynchronous workflows, CI/CD systems, security boundaries, scalability, and operational tradeoffs. - Hands-on experience with GitLab CI/CD, pipeline design, YAML, runners, and GitLab APIs. - Experience with infrastructure as code and enterprise deployment tooling such as Terraform, Ansible, Helm, or similar approaches. - Working knowledge of large language models, agentic patterns, tool orchestration, and the practical limits of AI systems in production environments. - A track record of creating reusable technical assets that outlive a single engagement, along with strong written and verbal communication skills for technical design and architecture guidance. - Comfort leading conversations with senior stakeholders across security, compliance, engineering, platform, and business teams, especially in ambiguous enterprise environments. Benefits: - Benefits to support your health, finances, and well-being - Flexible Paid Time Off - Team Member Resource Groups - Equity Compensation & Employee Stock Purchase Plan - Growth and Development Fund - Parental Leave - Home Office Support ## Skills ### Required - software engineering - platform architecture - forward deployed engineering - technical consulting - Ruby on Rails - Go - APIs - asynchronous workflows - CI/CD systems - security boundaries - scalability - operational tradeoffs - GitLab CI/CD - pipeline design - YAML - runners - GitLab APIs - infrastructure as code - enterprise deployment tooling - Terraform - Ansible - Helm - large language models - agentic patterns - tool orchestration - AI systems in production environments --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/gitlab/jobs/8524783002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)