Staff Forward Deployed Engineer

🕒 July 16

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GitLab

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

💰 Secondary Market on 2020-11

Consulting • Marketing • Artificial Intelligence

GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.

📋 Description

• Contribute production-quality code to GitLab’s product and adjacent systems. • Develop bug fixes, features, integrations, tooling, and performance improvements when strategic customer outcomes require direct engineering work. • Work within GitLab’s product and engineering processes, including issue discovery, merge request creation, testing, review, documentation, and maintainability. • Partner with Product and Engineering so customer-driven solutions support long-term product direction rather than becoming one-off customizations. • Turn blockers discovered in the field into durable product improvements, reference architectures, documentation, and repeatable implementation patterns. • Engage with strategically important customers when adoption, retention, executive confidence, or public trust is materially at risk. • Diagnose complex problems across GitLab product behavior, customer architecture, Git internals, CI/CD workflows, API usage, observability, infrastructure, networking, and cloud environments. • Coordinate across Product, Engineering, SRE, Support, SA, CSA, CSM, Professional Services, and customer technical teams to drive resolution from discovery through handoff. • Provide recommendations grounded in data, traces, and systems analysis to improve GitLab usage, workflows, automation, and architecture. • Create durable outcomes without establishing permanent dependency on Forward Deployed Engineering. • Drive governed, measurable, and production-oriented adoption of GitLab Duo Agent Platform with strategic customers. • Identify and resolve AI adoption blockers involving governance, usage controls, auditability, security, compliance, operating models, workflow design, and integrations. • Develop customer-safe adoption patterns for the agentic software development lifecycle (SDLC), AI-assisted development, intent-based review, AI governance, and human-in-the-loop software delivery. • Partner with Product, Engineering, Field, and Customer Success teams to turn AI adoption learning into reusable guidance and product improvements. • Create technical narratives grounded in customer experience and product reality that can help shape the industry’s approach. • Contribute to Well-Architected Frameworks, whitepapers, webinars, reference architectures, technical strategy memos, and adoption frameworks. • Guide ideas through discovery, formulation, validation, amplification, and adoption across GitLab. • Partner with SA, CSA, Product, Engineering, Marketing, Product Marketing Management, CSM, Support, and executive stakeholders to make technical thought leadership a shared company capability.

🎯 Requirements

• Staff-level experience building, operating, or improving complex production software systems. • Experience contributing to large, mature product codebases with high standards for testing, maintainability, performance, and security. • Strong Ruby on Rails or Go experience and the ability to contribute directly to GitLab’s product and adjacent systems. • Experience with AI-assisted software development, agentic workflows, AI governance, model evaluation, context management, prompt and workflow design, or AI adoption in enterprise environments. • Experience diagnosing complex system behavior across application code, data stores, infrastructure, observability, networking, APIs, and customer usage patterns. • Deep knowledge of modern DevSecOps workflows, including Git, merge requests, CI/CD, security controls, compliance needs, and enterprise software delivery. • Experience working with strategic customers or senior technical stakeholders in ambiguous, high-impact situations. • The ability to coordinate across product, engineering, field, and customer teams without formal authority. • Strong written communication and sound judgment, including the ability to create technical narratives and distinguish reusable product work from customer-specific customization.

🏖️ 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