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Distinguished Engineer, Core DevOps

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Remote from
UK, USA, Canada
Salary
USD 250k–349k / yr
Employment
Full Time
Experience
Director
Published
Apply before
18 Nov 2026
Listing views
51
Application actions
1
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AI Summary

The role, at a glance.

GitLab is seeking a Distinguished Engineer to set the technical direction for its high-traffic Core DevOps services, including CI, CD, planning, and source-code experiences. The role combines hands-on architectural leadership with ownership of system reliability, migration strategy, technical-risk reduction, and AI-native engineering adoption. The engineer will partner closely with the VP of Engineering, Infrastructure, Security, SRE, Product, and senior technical leaders across the organization. Success requires deep distributed-systems expertise, production AI/ML experience, exceptional technical writing, and influence across teams without direct authority.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is an executive-level individual-contributor role responsible for architectural decisions affecting mature, globally used DevOps systems. It requires resolving ambiguous cross-organization problems while preserving reliability for millions of users and advancing AI-driven platform strategy.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$299,500
US market range (per year)$260k–$360k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a US base-salary range of $250,000–$349,000 USD. Although the posting does not explicitly state a cadence, this is inferred as yearly because it is a US base-salary range for a full-time distinguished engineering role. The midpoint is $299,500 per year; the estimated US market range for a comparable distinguished DevOps engineering position is $260,000–$360,000 per year, excluding equity and bonuses.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you create a technical strategy for modernizing mature CI/CD systems used by millions of customers?

I would first establish a measurable baseline for availability, latency, pipeline success, reliability, scalability, and operational risk. I would map critical paths and dependencies, identify the highest-impact constraints, and create a sequenced roadmap using incremental migrations, dual-run validation, rollback controls, and explicit deprecation timelines. The strategy would be reviewed regularly against customer impact and business priorities.

Describe how you would evaluate an AI agent before introducing it into a production DevOps workflow.

I would define the agent's allowed actions, failure modes, safety boundaries, and human approval points before implementation. Evaluation would include representative offline benchmarks, adversarial scenarios, quality and latency thresholds, auditability, and controlled production experiments. I would only expand autonomy after evidence shows that the agent improves outcomes without creating unacceptable operational or security risk.

How do you drive architectural alignment across teams when you do not have direct management authority?

I make the desired outcomes, constraints, and trade-offs explicit through concise design documents, decision records, and measurable success criteria. I involve affected teams early, use prototypes and operational data to resolve disagreement, and create reusable patterns that reduce local implementation effort. Consistent follow-through in reviews and incident learning builds trust and enables durable alignment.

What practices would you use to prevent a migration from disrupting GitLab.com, Dedicated, and Self-Managed customers?

I would design the migration for compatibility from the outset, with feature flags, staged rollout, telemetry, dual-read or dual-write where appropriate, and tested rollback paths. Each environment would have explicit validation criteria for tenancy, performance, compliance, and data correctness. Customer communication and a clearly maintained deprecation schedule would accompany the technical rollout.

How would you prioritize technical debt and systemic risk across Core DevOps?

I would maintain a visible risk register that scores issues by customer impact, likelihood, blast radius, recoverability, and strategic cost of delay. The highest-priority work would include single points of failure, unowned critical paths, brittle coupling, capacity limits, and defects that threaten correctness or reliability. I would translate these risks into roadmap language so product and engineering leaders can make informed investment decisions together.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

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 lead technical direction across GitLab’s Core DevOps services, the systems the majority of our users touch every day. 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.

Core DevOps builds continuous Integration, continuous deployment, planning, and source control experiences. These are among the most mature, highest traffic, and most deeply interconnected systems at GitLab. They carry years of accumulated architectural decisions, they sit in the critical path of our customers’ own delivery pipelines, and they are being reshaped by the shift toward AI native development. The job is to raise their quality, converge them onto a coherent go-forward architecture, and retire accumulated risk, all without interrupting the millions of users and Fortune 100 organizations who depend on them.

GitLab is pursuing a set of company-wide engineering goals: large gains in developer productivity, measurably higher quality in what we ship, and engineering practices reshaped around AI and agentic workflows. Core DevOps is where much of that strategy has to land, because these are the services our own engineers and our customers depend on daily. In this role you will bring that strategy into Core DevOps in a form that works for long lived production systems, and carry what you learn here back out to the rest of engineering.

What You’ll Do

  • Set and continuously refine the go forward technical direction for CI, CD, Plan, and source code experiences, aligned against the horizontal architectural initiatives.
  • Work directly with the VP of Engineering as her technical counterpart on planning, technical investment, and where the group’s engineering effort should go.
  • Translate GitLab’s company-wide productivity, quality, and AI native engineering goals into concrete technical direction for Core DevOps, and turn into iterable roadmaps, partnering broadly across the org.
  • Define what good means in measurable terms for these services, including availability, latency at p95 and p99, pipeline success rate, test reliability, data correctness, and defect escape rate, then hold designs and implementations to it.
  • Maintain a clear and current picture of systemic technical risk across the group, including single points of failure, unowned critical paths, brittle coupling between CI/CD and Plan, scaling limits, and past decisions that now constrain the roadmap. Drive a prioritized plan to retire it.
  • Lead the hardest design decisions hands on, writing code, prototypes, and proofs of concept where a design argument needs evidence behind it.
  • Drive convergence on shared patterns, libraries, and paved paths, reducing how many different ways the same problem gets solved across the group.
  • Design migration paths that let large, long lived systems change underneath users without breaking them, using incremental cutover, dual run, measurable rollback, and deprecation with clear timelines.
  • Adopt the platform capabilities coming from GitLab’s AI organization and the company’s productivity initiatives into Core DevOps, feed this group’s requirements back into them, and help prove what works on systems of this scale and maturity.
  • Serve as the escalation point for complex or contested technical decisions across the group, including those where no single team owns the outcome.
  • Review significant designs and merge requests in the group’s critical paths, and use review to teach rather than only to gate.
  • Ensure designs hold across GitLab.com, GitLab Dedicated, and Self-Managed deployments, and respect multi-tenant, compliance, and data governance boundaries in each.
  • Partner with Infrastructure, Security, and SRE so Core DevOps services are observable and debuggable, and so failure modes degrade gracefully instead of cascading.
  • Make architectural constraints and opportunities clear to Product in roadmap terms, so that technical investment and product ambition get planned together instead of traded off late.
  • Write clear, opinionated design documents, architecture narratives, and decision records that let teams across the group make aligned decisions independently.
  • Grow Principal and Staff Engineers across Core DevOps, raise the bar on design rigor and technical writing, and contribute to the technical hiring bar for senior individual contributors.
  • Participate in the Incident Management on-call rotation to help meet availability goals for GitLab.com, and complete Interview Training to participate in hiring as a technical interviewer or panel member.

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.
  • 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.

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

$250,000—$349,000 USD

How GitLab Supports Full-Time Employees

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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