Engineering Manager, Dedicated Integrations

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Remote from: UK
Salary: Undisclosed
Department: DevOps & Infrastructure
Employment: Full Time
Experience: Senior
Published: 22 Oct 2026
Apply before: 21 Nov 2026
Listing views: 26
Application actions: 2

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AI Summary

The role, at a glance.

GitLab is seeking a technical Engineering Manager to lead the Dedicated Platform Integration team for its hosted SaaS platform. The role combines people leadership with hands-on technical direction for large-scale distributed systems, third-party integrations, fleet management, and production operations. The manager is accountable for high availability, security, scalable automated provisioning, incident management, technical debt, and self-service platform capabilities. Success requires experience with Terraform, AWS, 20+ clusters, 99.99% SLOs, AI-enabled engineering practices, and leading distributed teams. The position also owns recruiting, coaching, performance management, and cross-functional delivery with product partners.

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 a senior engineering leadership position with responsibility for highly available production infrastructure, distributed systems strategy, incident response, and team performance. The four-nines reliability target, complex platform scope, and expectation to operate independently make the role especially demanding.

Salary analysis

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

Estimated job median (per year)Market rate

$185,000

US market range (per year)$155k–$220k

0$242.00k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. The yearly cadence is inferred from this full-time senior engineering-management role. Estimated annual market compensation is shown in USD for comparative analysis and may vary by UK location, level, and total-equity structure.

Core skills

Skills and capabilities most closely associated with this opportunity.

Engineering leadership Distributed systems AWS Terraform Fleet management Infrastructure automation Site reliability engineering Incident management SLO management DevOps Platform engineering Technical strategy People management AI tooling Remote team leadership

Sample interview questions

How have you maintained a 99.99% availability target for a production service?

I start by defining measurable SLOs, error budgets, and service ownership boundaries. I invest in observability, tested runbooks, capacity planning, resilient architecture, and blameless incident reviews that produce prioritized reliability work. I use error-budget signals to make explicit trade-offs between feature delivery and operational risk.

Describe how you would scale automated provisioning across more than 20 clusters.

I would standardize cluster configuration through version-controlled Terraform modules, establish reusable platform APIs and golden paths, and implement policy checks in CI/CD. Progressive rollout, drift detection, clear ownership, and automated validation would reduce risk while allowing teams to provision consistently at scale.

How do you balance hands-on technical leadership with people management?

I stay close enough to architecture, operational data, and key design reviews to make informed decisions, without becoming a bottleneck. I delegate ownership clearly, coach technical leads, and use regular one-on-ones, planning rituals, and outcome-based goals to develop people while maintaining delivery accountability.

What is your approach to managing a serious production incident?

I establish a clear incident commander, stabilize customer impact first, maintain a concise communications cadence, and ensure decisions are logged. After recovery, I lead a blameless review that identifies contributing system factors, assigns durable corrective actions, and verifies that improvements are completed rather than merely documented.

How would you use AI tools responsibly within an infrastructure engineering team?

I would apply AI to accelerate tasks such as drafting runbooks, summarizing incidents, exploring logs, generating test cases, and prototyping automation, while retaining human review for security-sensitive and production-impacting changes. I would measure practical outcomes, document lessons from failures, and establish guardrails for data handling and code quality.

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.

We’re looking for a technical engineering manager to lead a team building and operating large-scale distributed systems. The ideal candidate combines deep technical expertise with strong operational instincts and a passion for building high-performing teams.

You will lead the Dedicated Platform Integration team, responsible for the integration of third-party and modular features in the GitLab ecosystem, for Dedicated platform hosted SaaS.

Key Responsibilities:

Enable effective execution with Quality and Speed, in partnership with the team’s Product Manager
Ensure 3+ 9s availability of Dedicated infrastructure, ensuring security and automating for maximum scalability and number of tenants.
Provide clear direction, meaningful feedback and foster an environment where meaningless toil gets ruthlessly automated and Devops ownership is enforced.
Continuously improved owned artifacts in a direction of optimizing platforms for self-service ownership of production for feature implementers.
Recruitment, onboarding and development of excellent and productive team members.
Be a role model for the team: provide Proof of concepts, agentic mindset and extreme simplification of processes and removal of human toil. Show and Tell, not only Tell.
Role model Incident Management best-practices, lead in fast resolutions, escalations and train and codify best practices to the whole of GitLab
Data driven approach to prioritization, impact quantification and management of risk and technical debt.Able to use AI to demonstrate concepts and translate technical complexity to drive stakeholder decisions.

What you’ll bring:

Proven track record building and owning large-scale distributed services, with the technical depth to dive into architecture and guide the team on technical strategy
Experience with fleet management products, including Terraform, AWS and automated provisioning at scale (20+ clusters)
Experience in driving operational excellence and you’ve owned services running at four-nines (99.99%) SLOs and know what it takes to keep them there
Experience leveraging AI tooling to boost team productivity, with real lessons learned from both wins and missteps
A history of building and managing high-performing, accountable team cultures, including managing out when necessary
Comfort driving complex projects to completion without relying on a dedicated TPM
Experience leading distributed and remote teams effectively

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.

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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.