{"id":977407,"url":"https://alion.io/job/vuejobs-staff-forward-deployed-engineer-2","title":"Staff Forward Deployed Engineer","company":{"id":15014,"name":"GitLab","domain":"gitlab.com","url":"https://alion.io/company/gitlab","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":"vuejobs.com","ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":90,"open_postings":20,"ghost_share":0,"stale_share":0.4,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":254000,"max":297000,"currency":"USD","period":"year","gross":null,"usd_annual":297000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"GitLab","optional":false},{"name":"Go","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Ruby","optional":false},{"name":".NET","optional":true},{"name":"Agentic Workflows","optional":true},{"name":"C#","optional":true},{"name":"Docker","optional":true},{"name":"GitLab CI","optional":true},{"name":"Java","optional":true},{"name":"Kubernetes","optional":true},{"name":"Linux","optional":true},{"name":"Platform Engineering","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Redis","optional":true},{"name":"Ruby on Rails","optional":true},{"name":"Sidekiq","optional":true},{"name":"Terraform","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-07-20T16:13:39Z","employer_posted_date":"2026-07-20","last_verified_at":"2026-07-20T16:13:39Z","board_verified":false,"closed_at":null,"days_open":98,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":98},"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.\nThe 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.\n*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.\nStaff Forward Deployed Engineer, Agentic SDLC\nAn Overview of This Role\nGitLab’s Forward Deployed Engineering team is a field-situated product engineering function focused on strategic customer outcomes, AI adoption, and direct contribution back to GitLab’s product. This is not a traditional field engineering, solutions architecture, or professional services role. The Staff Forward Deployed Engineer is expected to operate with deep customer proximity while maintaining the technical bar and contribution discipline of a Staff-level product engineer.\nThis role exists where strategic customer urgency, complex technical ambiguity, and GitLab product execution intersect. The Staff FDE will work directly with strategic customers, Product, Engineering, Support, SRE, SA, CSA, CSM, and Professional Services to diagnose and resolve high-impact adoption blockers, contribute production-grade fixes and features, and convert learning into repeatable patterns for GitLab and its customers.\nThe ideal candidate is a Staff-level product or platform engineer with strong Ruby/Rails, Go, systems, DevSecOps, and AI adoption experience who can operate credibly in front of senior customer stakeholders while also contributing directly to GitLab’s core product.\nWhy This Role Exists\nStrategic customers sometimes encounter challenges that are too broad, deep, urgent, or cross-functional for any single existing team to own end-to-end. These challenges may involve product gaps, performance degradation, scale bottlenecks, AI governance, adoption blockers, architectural constraints, Git usage patterns, CI/CD complexity, API automation, security requirements, or operational instability.\nFDE provides technical stewardship in these moments. The team does not simply observe, report, or escalate. FDE engages directly, diagnoses the real technical problem, collaborates with the right internal teams, contributes code or technical solutions where appropriate, and transitions the outcome back into normal ownership once the customer is stabilized and the learning is reusable.\nCore Responsibilities\nProduct Contribution\nContribute production-quality code to GitLab’s product and adjacent systems.\nDevelop bug fixes, features, integrations, tooling, or performance improvements where strategic customer outcomes require direct engineering contribution.\nWork within GitLab’s normal product and engineering processes, including issue discovery, MR creation, testing, review, documentation, and maintainability.\nInfluence Product and Engineering to ensure customer-driven solutions align with long-term product direction and do not become one-off customizations.\nTranslate field-discovered blockers into durable product improvements, reference architectures, documentation, or repeatable implementation patterns.\nStrategic Technical Stewardship\nEngage with strategically important customers when adoption, retention, executive confidence, or public trust is materially at risk.\nDiagnose complex technical problems across GitLab product behavior, customer architecture, Git internals, CI/CD workflows, API usage, observability, infrastructure, networking, and cloud environments.\nCoordinate across Product, Engineering, SRE, Support, SA, CSA, CSM, PS, and customer technical teams to drive end-to-end resolution.\nProvide data-driven, trace-level, systems-level recommendations for improving GitLab usage, workflows, automation, and architecture.\nEnsure FDE involvement creates durable outcomes rather than permanent dependency.\nAI Adoption and Agentic SDLC\nDrive adoption of GitLab Duo Agent Platform with strategic customers in governed, measurable, production-oriented ways.\nIdentify and resolve blockers to AI adoption, including governance, usage controls, auditability, security, compliance, operating model, workflow design, and integration gaps.\nDevelop customer-safe adoption patterns for agentic SDLC, AI-assisted development, intent-based review, AI governance, and human-in-the-loop software delivery.\nPartner with Product, Engineering, Field, and Customer Success to translate AI adoption learning into reusable guidance and product improvements.\nThought Leadership\nLead GitLab in creating industry-shaping technical narratives grounded in real customer experience and product reality.\nContribute to Well Architected Frameworks, whitepapers, webinars, reference architectures, technical strategy memos, and adoption frameworks.\nSteward ideas from discovery through formulation, validation, amplification, and normalization across the company.\nPartner with SA, CSA, Product, Engineering, Marketing, PMM, CSM, Support, and executive stakeholders to make thought leadership a company capability rather than an isolated team activity.\nRequired Qualifications\nStaff-level experience building, operating, or improving complex production software systems.\nDemonstrated ability to contribute to large, mature product codebases with high standards for testing, maintainability, performance, and security.\nStrong Ruby/Rails or Go experience, with ability to contribute directly to GitLab’s product contribution surface.\nExperience diagnosing complex system behavior across application code, data stores, infrastructure, observability, networking, APIs, and customer usage patterns.\nDeep understanding of modern DevSecOps workflows, including Git, merge requests, CI/CD, security controls, compliance needs, and enterprise software delivery.\nExperience working with strategic customers or senior technical stakeholders in ambiguous, high-impact situations.\nAbility to coordinate across Product, Engineering, Support, SRE, SA, CSA, CSM, Professional Services, and customer teams without formal authority.\nStrong written communication skills, including the ability to produce technical narratives, architecture guidance, and reusable field/product assets.\nDemonstrated judgment in distinguishing reusable product/platform work from customer-specific customization.\nStrongly Preferred Qualifications\nDirect experience with GitLab as a platform, including GitLab.com, Dedicated, or self-managed deployments.\nProduction experience with Ruby on Rails, Go, PostgreSQL, Redis, Sidekiq, Vue, TypeScript, Kubernetes, Docker, Linux, and observability tooling.\nDeep familiarity with Git internals, repository performance, large-scale Git usage patterns, or CI runner behavior.\nExperience with AI-assisted software development, agentic workflows, AI governance, model evaluation, context management, prompt/workflow design, or AI adoption in regulated enterprise environments.\nExperience creating thought-leadership artifacts such as whitepapers, technical talks, architecture frameworks, RFCs, public technical writing, or internal strategy documents.\nBackground in performance engineering, SRE, platform engineering, infrastructure engineering, or distributed systems.\nExperience working in open-source or highly asynchronous engineering environments.\nTechnologies and Domains\nDirectly relevant technologies include:\n Ruby / Rails Go (GoLang)AI-assisted development and agentic SDLC\nPostgreSQL\nRedis / Sidekiq\nGit internals\nGitLab CI/CD and Runner architecture\nKubernetes and containers\nTerraform\nLinux, networking, observability, and performance analysis\nVue / TypeScript\nAPIs and automation\nDevSecOps governance, security, and compliance\nExperience with Java, .NET, or other enterprise application stacks may provide useful customer context, but is not a substitute for the ability to contribute directly to GitLab’s core product and adjacent systems.\nWhat This Role Is Not\nThis role is not:\na generic field engineering role\na proof-of-concept factory\na replacement for SA, CSA, CSM, PS, Support, SRE, Product, or Engineering\na customer-specific customization function\nunbilled Professional Services\na requirement-gathering role that only escalates to Product\nan AI evangelism role disconnected from product execution\nSuccess Measures\nSuccess in this role may include:\nStrategic customer adoption or retention risks stabilized.\nProduct bugs fixed or features contributed.\nAI adoption blockers removed for strategic accounts.\nReusable implementation patterns created and handed off.\nWell Architected Frameworks, whitepapers, webinars, or technical narratives produced or enabled.\nCross-functional customer challenges resolved without creating permanent FDE dependency.\nProduct, Engineering, Support, CSA, CSM, PS, and SA teams equipped with better guidance from field-discovered learning.\nIncreased adoption and effective usage of GitLab capabilities, especially GitLab Duo and Duo Agent Platform, in targeted accounts.\nIdeal Candidate Profile\nThe ideal candidate is a Staff-level product or platform engineer who can operate in the field without becoming “field only.” They are equally comfortable reading traces, writing production code, debugging architecture, discussing AI governance, leading a customer technical session, opening a merge request, writing a whitepaper outline, and coordinating across internal teams to achieve a strategic customer outcome.\nThey are not simply a strong communicator with technical awareness. They are a deeply credible engineer with the judgment, presence, and narrative ability required to turn customer reality into product contribution, adoption guidance, and company-level thought leadership.\nThe base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.\nUnited States Salary Range\n$254,000-$297,000 USD\nHow GitLab Supports Full-Time Employees\nBenefits to support your health, finances, and well-being\nFlexible Paid Time Off\nTeam Member Resource Groups\nEquity Compensation & Employee Stock Purchase Plan\nGrowth and Development Fund\nParental Leave\nPlease note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. 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