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GitLab

Senior Professional Services, Technical Architect - FDE - US Remote

Reposted An Hour Ago
Easy Apply
Remote
Hiring Remotely in US
145K-310K Annually
Senior level
Easy Apply
Remote
Hiring Remotely in US
145K-310K Annually
Senior level
The Senior Professional Services Technical Architect leads technical architecture engagements for GitLab, guiding customers in DevSecOps implementations, migrations, and best practices in cloud and on-premises environments.
The summary above was generated by AI

GitLab is an open-core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating human progress. Our platform unites teams and organizations, breaking down barriers and redefining what's possible in software development. Thanks to products like Duo Enterprise and Duo Agent Platform, customers get AI benefits at every stage of the SDLC. 

The 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.

An overview of this role

As a Senior Professional Services Technical Architect (Forward Deployed Engineer) at GitLab, you'll work directly with our most strategic enterprise customers to design, deploy, and optimize GitLab's Duo Agent Platform (DAP) in their real-world environments. You'll lead complex, multi-phase implementations from initial discovery through post-production optimization, acting as the technical owner for forward deployed projects. You'll partner closely with customer engineering, security, and operations teams to architect secure, compliant, and scalable DAP solutions, including self-managed installations, AI Gateway configuration, and self-hosted model integrations in highly regulated and complex environments.

You'll be hands-on with large language model (LLM) applications, Model Context Protocol (MCP) integrations, and custom agents and flows that connect GitLab DAP to customer systems like Jira, ServiceNow, Confluence, and internal tools. Your work will turn high-level AI transformation goals into production-ready architectures, implementation patterns, and reusable assets that other GitLab teams and customers can adopt. You'll collaborate with Product and Engineering to share field insights, helping shape the DAP roadmap and best practices for enterprise-scale AI adoption. This role is ideal if you enjoy being embedded with customers, solving complex technical challenges, and demonstrating measurable AI business impact, all within GitLab's remote, asynchronous, and values-driven environment.

Some examples of our projects:

  • Leading end-to-end DAP implementations for global enterprises with strict security and compliance requirements
  • Designing advanced MCP and custom agent integrations to orchestrate workflows across a customer's existing tools and platforms
What you'll do
  • Lead complex, multi-phase DAP (Duo Agent Platform) implementations for strategic enterprise accounts, owning delivery from initial discovery through post-production optimization.
  • Architect enterprise-scale DAP deployments, including self-managed installations, AI Gateway configuration, and self-hosted model integrations for customers with advanced security and compliance needs.
  • Design and implement advanced MCP (Model Context Protocol) integrations that connect DAP with customer systems such as Jira, ServiceNow, Confluence, and custom internal tools.
  • Contribute high-value, reusable Custom Agents and Flows back to GitLab that become reference solutions adopted by multiple customers and Professional Services teams.
  • Develop reference architectures, deployment patterns, and implementation methodologies that accelerate DAP delivery and improve consistency across customer engagements.
  • Mentor Intermediate Technical Architects and other Forward Deployed Engineers on advanced DAP patterns, complex troubleshooting, and effective customer engagement strategies.
  • Lead technical discovery and architecture sessions with senior customer stakeholders to identify high-impact AI transformation opportunities and define scalable rollout strategies.
  • Collaborate closely with Product, Engineering, and Sales to provide structured field feedback, influence the DAP roadmap, and represent DAP capabilities in executive briefings and industry events.
What you'll bring
  • Experience working embedded with customers in technical, customer-facing roles (for example, software engineering with consulting experience, solutions engineering, or professional services delivery).
  • Production experience with large language model (LLM) applications, including prompt engineering, agent development, and evaluation frameworks.
  • Experience architecting and deploying AI or machine learning solutions in enterprise environments.
  • Demonstrated ability to lead complex technical implementations independently, from discovery and design through deployment and post-production optimization.
  • Track record of contributing reusable technical assets (for example documentation, code, reference architectures, or frameworks) that benefit teams beyond a single project.
  • Experience mentoring and guiding junior or intermediate engineers, including coaching on advanced patterns and complex troubleshooting.
  • Strong stakeholder management and communication skills, with the ability to translate complex technical concepts for diverse audiences from individual contributors to director and vice president level executives.
  • Additional experience in security-conscious or regulated industries, and familiarity with GitLab's platform, CI/CD pipelines, and DevSecOps practices.
About the team

The Senior Professional Services Technical Architect (FDE) is part of our Professional Services Architecture team. We partner with our most strategic enterprise customers to design, deploy, and optimize GitLab's Duo Agent Platform (DAP) in complex and highly regulated environments, and we collaborate closely with Product, Engineering, Sales, and other Professional Services teams to turn real-world experience into reusable assets and best practices. Our team operates within GitLab's remote, asynchronous, and values-driven environment. For more on how our team works, see the Professional Services Architect Job Family page.


The 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.

United States Salary Range
$144,500$309,600 USD
How GitLab will support you
  • 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

Please 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. If you're excited about this role, please apply and allow our recruiters to assess your application.

Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.  

Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.

GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

Top Skills

AI
Ansible
Ci/Cd
Cloud Environments
DevOps
Devsecops
Gitlab
Infrastructure As Code
Terraform

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