Staff Forward Deployed Engineer

G
GitLabDevSecOps
Remote, Australia; Remote, SingaporeFull-TimeStaff
Salary not disclosed
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Job Details

Required Skills
Ruby on RailsGoTerraformAnsibleHelmLLM

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.
  • Experience in Ruby on Rails and/or Go (ideally).
  • 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.
  • 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.

Responsibilities

  • Conduct deep technical discovery in selected strategic accounts to assess platform readiness, evaluate constraints, and identify high-value adoption opportunities.
  • 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.
  • Contribute code, technical designs, or architecture changes when strategically necessary, in partnership with product and engineering, to address blockers.
  • Travel as needed for strategic customer engagements, architecture workshops, and team coordination, with expected travel up to 50%.
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