Distinguished Engineer, Agentic SDLC & Non‑Linear Productivity på Gitlab i Remote

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.

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.

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.

About the Role

We are looking for a Distinguished Engineer to pioneer and scale autonomous, agentic SDLC capabilities across GitLab.

Distinguished Engineers are recognized experts across multiple technology domains and represent the most senior level of technical

leadership within and across divisions at the company.

In this role you will deeply immerse in GitLab's product and internal engineering workflows to identify classes of problems that

can be wholly or largely addressed by AI agents, validate them through rigorous experimentation in production-adjacent

environments, and codify patterns that can be productized for our millions of users. You will act as a bridge between

Architecture, Product, Infrastructure, and Data and ML teams, ensuring that agentic capabilities deliver durable value internally

first and then scale reliably and securely to our customers.

Additionally, the level for this role will be determined through the interview process and may be scoped as either Distinguished

Engineer or Fellow Engineer based on the depth and breadth of experience demonstrated.

What You'll Do

Define and continuously refine a company-wide technical vision for autonomous, agentic SDLC that aligns with GitLab's product

strategy and Engineering job architecture.

Identify and prioritize non-linear productivity opportunities across the SDLC, from planning and coding to review, security,

compliance, and operations, targeting 10x step changes rather than incremental gains.

Translate ambiguous problem spaces into concrete, iterable roadmaps in partnership with Product, AI and ML, and Architecture

teams.

Lead hands-on experiments and prototypes to validate where agentic workflows can fully own or materially reshape engineering

tasks, including autonomous MR authoring, test creation and triage, security remediation, release readiness, and incident

response.

Design and implement reference architectures for agentic SDLC inside GitLab, including orchestration patterns, safety

guardrails, observability, and human-in-the-loop controls.

Define evaluation frameworks using offline benchmarks and online experiments to measure correctness, latency, safety, cost, and

productivity impact of agentic workflows.

Select and own a small set of high-impact internal use cases as pathfinders and drive them from concept through adoption to

measurable productivity gains.

Work directly with engineering teams to embed agentic workflows into day-to-day development, ensuring they are trusted,

observable, and resilient.

Define and track core productivity metrics such as cycle time, MTTR, and MR throughput, and link agentic interventions to real

business outcomes.

Capture and codify reusable patterns, libraries, and playbooks that other teams can adopt with minimal friction.
Work with Product Management and Engineering leadership to convert proven internal patterns into product capabilities that can

be safely and reliably offered to customers.

Ensure designs respect multi-tenant, compliance, and data governance requirements across GitLab.com and self-managed customers.
Serve as a point of escalation for complex technical and architectural decisions related to agentic workflows, AI safety, and

large-scale systems integration.

Mentor Principal and Staff Engineers working on AI and agentic efforts, raising the overall bar for technical execution,

experimentation rigor, and cross-team collaboration.

Write clear, opinionated design documents, architecture narratives, and decision records that help teams make aligned,

high-quality decisions independently.

Represent GitLab in the broader ecosystem at conferences, standards groups, and open source communities on topics such as

AI-assisted development, autonomous agents, and productivity measurement.

Partner with Security and Compliance to define guardrails, review processes, and monitoring for agentic features, ensuring

responsible use of AI and protection of customer data.

Work with Reliability and SRE teams to ensure that agentic services are observable, debuggable, and resilient, and that failure

modes degrade gracefully.

What You'll Bring

10+ years of software engineering experience, including 4+ years in a Staff, Principal, or equivalent senior technical

leadership role.

Deep expertise in AI and ML systems, including large language models, agentic frameworks, and autonomous workflow design at

production scale.

Proven track record of leading hands-on technical experimentation, including defining evaluation frameworks, running

benchmarks, and translating findings into scalable architecture decisions.

Strong background in scalable, multi-tenant distributed systems, including service decomposition, fault tolerance,

observability, and operational resilience.

Experience designing and implementing human-in-the-loop controls, safety guardrails, and responsible AI practices for

production systems.

Demonstrated ability to drive cross-functional alignment across Engineering, Product, Infrastructure, and Data and ML teams on

complex, ambiguous technical challenges.

Experience mentoring senior engineers and influencing technical direction across multiple teams or divisions without direct

authority.

Ability to work effectively in a fully remote, globally distributed organization with excellent written and asynchronous

communication skills.

Familiarity with GitLab's DevSecOps platform, CI/CD primitives, and the software development lifecycle is a strong plus.

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

$260,000—$418,000 USD

HOW GITLAB SUPPORTS FULL-TIME EMPLOYEES

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

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.

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.

Roll

Distinguished Engineer, Agentic SDLC & Non‑Linear Productivity

Kategori

Data/IT

Plats

Remote

Publicerad

2 juli

Sista ansökningsdag

16 augusti

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Forward Deployed Engineer - EMEA

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Remote Ireland; Remote•Publicerad: 16 juli•Sista ansökan: 16 aug.

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. 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. *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. STAFF FORWARD DEPLOYED ENGINEER, AGENTIC SDLC - (EMEA ONLY) AN OVERVIEW OF THIS ROLE GitLab’s Forward Deployed Engineering team is a field-situated product engineering function focused on strategic customer outcomes, artificial intelligence (AI) adoption, and direct contributions to GitLab’s product. This isn't a traditional field engineering, solutions architecture, or professional services role. As a Staff Forward Deployed Engineer, you'll work closely with customers while maintaining the technical standards and contribution discipline of a Staff-level product engineer. You'll work where strategic customer urgency, complex technical ambiguity, and GitLab product execution intersect. You'll partner directly with strategic customers and teams across Product, Engineering, Support, Site Reliability Engineering (SRE), Solutions Architecture (SA), Customer Success Architecture (CSA), Customer Success Management (CSM), and Professional Services. You'll diagnose and resolve high-impact adoption blockers, contribute production-quality fixes and features, and turn what you learn into repeatable patterns for GitLab and its customers. WHY THIS ROLE EXISTS Strategic customers sometimes encounter challenges that are too broad, deep, urgent, or cross-functional for any single team to own from start to finish. These challenges may involve product gaps, performance degradation, scale bottlenecks, AI governance, adoption blockers, architectural constraints, Git usage patterns, continuous integration and continuous delivery (CI/CD) complexity, application programming interface (API) automation, security requirements, or operational instability. Forward Deployed Engineering provides technical stewardship in these moments. The team doesn't simply observe, report, or escalate. You'll engage directly, diagnose the underlying technical problem, collaborate with the right teams, contribute code or technical solutions where appropriate, and transition the outcome into normal ownership once the customer is stable and the learning can be reused. WHAT YOU’LL DO PRODUCT CONTRIBUTION * 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. STRATEGIC TECHNICAL STEWARDSHIP * 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. AI ADOPTION AND AGENTIC SOFTWARE DEVELOPMENT LIFECYCLE * 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. THOUGHT LEADERSHIP * 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. WHAT YOU’LL BRING * 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. STRONGLY PREFERRED QUALIFICATIONS * Direct experience with GitLab as a platform, including GitLab.com, GitLab Dedicated, or GitLab Self-Managed. * Production experience with Ruby on Rails, Go, PostgreSQL, Redis, Sidekiq, Vue, TypeScript, Kubernetes, Docker, Linux, or observability tools. * Deep familiarity with Git internals, repository performance, large-scale Git usage patterns, or GitLab Runner behavior. * Experience creating technical thought-leadership materials, such as whitepapers, technical talks, architecture frameworks, requests for comments, public technical writing, or internal strategy documents. * A background in performance engineering, site reliability engineering, platform engineering, infrastructure engineering, or distributed systems. * Experience working in open source or highly asynchronous engineering environments. TECHNOLOGIES AND DOMAINS Directly relevant technologies and domains include: * Ruby on Rails * Go * AI-assisted development and the agentic SDLC * PostgreSQL * Redis and Sidekiq * Git internals * GitLab CI/CD and Runner architecture * Kubernetes and containers * Terraform * Linux, networking, observability, and performance analysis * Vue and TypeScript * APIs and automation * DevSecOps governance, security, and compliance WHAT THIS ROLE IS NOT This role isn't: * A generic field engineering role. * A proof-of-concept factory. * A replacement for Solutions Architecture, Customer Success Architecture, Customer Success Management, Professional Services, Support, SRE, Product, or Engineering. * A customer-specific customization function. * Unbilled Professional Services. * A requirements-gathering role that only escalates to Product. * An AI evangelism role disconnected from product execution. SUCCESS MEASURES Success in this role may include: * Stabilizing strategic customer adoption or retention risks. * Fixing product bugs or contributing features. * Removing AI adoption blockers for strategic accounts. * Creating reusable implementation patterns and transitioning them to long-term owners. * Producing or enabling Well-Architected Frameworks, whitepapers, webinars, or technical narratives. * Resolving cross-functional customer challenges without creating permanent dependency on Forward Deployed Engineering. * Equipping Product, Engineering, Support, CSA, CSM, Professional Services, and SA teams with better guidance based on learning from the field. * Increasing adoption and effective use of GitLab capabilities, especially GitLab Duo and GitLab Duo Agent Platform, in targeted accounts. ABOUT THE TEAM The Forward Deployed Engineering team connects strategic customer needs with GitLab product execution. The team works directly with customers and across GitLab to resolve complex adoption challenges, contribute durable product improvements, and create reusable technical guidance. Its goal is to stabilize urgent situations, improve the product, and transition ongoing ownership to the appropriate team rather than create a permanent dependency. IDEAL CANDIDATE PROFILE You're a Staff-level product or platform engineer who can operate in the field without becoming field-only. You're comfortable reading traces, writing production code, debugging architecture, discussing AI governance, leading a customer technical session, opening a merge request, outlining a whitepaper, and coordinating across teams to achieve a strategic customer outcome. You're not simply a strong communicator with technical awareness. You're a credible engineer with the judgment, presence, and narrative ability to turn customer reality into product contributions, adoption guidance, and company-level thought leadership. We welcome candidates with different backgrounds and levels of experience. Many successful candidates don't meet every qualification. If you're excited about this role, we encourage you to apply and let our recruiting team assess your application. Remote-Global HOW GITLAB SUPPORTS FULL-TIME EMPLOYEES * 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 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.

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