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# Staff Backend Engineer, Developer Experience

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/gitlab.md)ShareRemote from[UK](https://jobicy.com/job-region/uk.md), [USA](https://jobicy.com/job-region/usa.md), [Canada](https://jobicy.com/job-region/canada.md)SalaryUSD 131,600–282k / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished2 Nov 2026Apply before2 Dec 2026Listing views35Application actions1Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

AI Summary

## The role, at a glance.

This Staff Backend Engineer role leads developer-experience platform initiatives across GitLab’s globally distributed engineering organization. The work combines hands-on Go and Ruby development with technical leadership for Kubernetes-based service onboarding, CI/CD workflows, and reproducible test environments. The engineer will solve complex lifecycle and readiness challenges involving CRDs, controllers, Helm releases, multi-cluster contexts, and dependent workloads. Success requires influencing infrastructure, security, and application teams while establishing reusable standards, automation, documentation, and reliability measures. It is a remote full-time position open in Canada, the United Kingdom, and the United States, with a published US base-salary range.

## Role DNA

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

### Job Complexity

5/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a staff-level platform engineering position requiring deep practical expertise in Kubernetes internals, developer tooling, Go, and production operations. The role also demands cross-functional technical leadership and the ability to drive organization-wide adoption without direct authority.

## Salary analysis

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

Estimated job median (per year)Market rate$206,800US market range (per year)$180k–$300k0$330k

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 $131,600–$282,000 USD. The annual cadence is inferred from the salary magnitude, US location context, full-time staff-level engineering scope, and standard US professional compensation conventions; the posting does not explicitly state an annual period. Estimated US market compensation for a Staff Backend/Platform Engineer is $180,000–$300,000 USD per year, excluding equity and bonuses.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Go](https://jobicy.com/jobs?search_keywords=Go.md)[Ruby](https://jobicy.com/jobs?search_keywords=Ruby.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Helm](https://jobicy.com/jobs?search_keywords=Helm.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md)[Developer Experience](https://jobicy.com/jobs?search_keywords=Developer%20Experience.md)[Platform Engineering](https://jobicy.com/jobs?search_keywords=Platform%20Engineering.md)[DevOps](https://jobicy.com/jobs?search_keywords=DevOps.md)[Infrastructure Automation](https://jobicy.com/jobs?search_keywords=Infrastructure%20Automation.md)[Observability](https://jobicy.com/jobs?search_keywords=Observability.md)[GitOps](https://jobicy.com/jobs?search_keywords=GitOps.md)[Multi-cluster Kubernetes](https://jobicy.com/jobs?search_keywords=Multi-cluster%20Kubernetes.md)[Technical Leadership](https://jobicy.com/jobs?search_keywords=Technical%20Leadership.md)[Production Operations](https://jobicy.com/jobs?search_keywords=Production%20Operations.md)

Sample interview questionsHow would you design a reliable Kubernetes-based service onboarding workflow for teams with different levels of platform expertise?I would provide opinionated templates and self-service automation that encode secure defaults for deployment, networking, configuration, secrets, identity, observability, and progressive delivery. The workflow should expose only the decisions service teams need to make, validate inputs early, and provide clear documentation and actionable failure messages. I would measure adoption time, deployment success rates, and support burden to iterate on the platform.

How do you make a development or test environment deterministic when it depends on CRDs, operators, and custom resources?

I would explicitly model dependency ordering and readiness rather than relying on resource creation order. The automation should wait for CRDs to be established, controllers to become available, and custom resources to reach their defined ready conditions before deploying dependent workloads. I would add timeouts, diagnostics, idempotent cleanup, and integration tests that reproduce the full environment lifecycle.

Describe how you would improve developer productivity without compromising platform reliability or security.

I would start with developer feedback and operational data to identify the highest-friction workflows. Then I would automate safe, repeatable paths with policy-backed defaults, reusable templates, and guardrails rather than requiring each team to become a Kubernetes expert. Reliability, security, and adoption metrics would be reviewed together so that productivity improvements do not shift risk to production teams.

How would you approach a production incident caused by a failed Kubernetes rollout?

I would first stabilize customer impact through rollback, traffic management, or progressive-delivery controls, then gather evidence from deployment events, controller logs, workload health, and recent configuration changes. After recovery, I would lead a blameless follow-up focused on systemic improvements such as stronger pre-deployment validation, readiness checks, safer rollout policies, and clearer runbooks. The resulting actions should have owners and measurable completion criteria.

How do you influence teams across engineering, infrastructure, and security when you do not directly manage them?

I build alignment by understanding each group’s constraints, presenting concrete technical tradeoffs, and delivering small demonstrable improvements early. I use written proposals, shared success metrics, and transparent decision records to make progress visible and invite feedback. Consistent follow-through, documentation, and a focus on reducing work for partner teams help establish trust and drive adoption.

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](https://www.youtube.com/watch?v=OuZIb5zszQI) 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.

As a Staff Backend Engineer in the [Developer Experience](https://handbook.gitlab.com/handbook/engineering/infrastructure-platforms/developer-experience/) group, you’ll work cross-functionally to help us identify and improve the engineering experience across GitLab’s internal engineering teams. We’re at a pivotal time in transforming our testing approach and development experience to enable engineers to deliver high-quality code efficiently and with confidence.

[Developer Experience](https://handbook.gitlab.com/handbook/engineering/infrastructure-platforms/developer-experience/test-governance/) currently has six, globally distributed teams of Backend Engineers and Software Engineers in Test. This role will work across the entire group to help us identify and remove the biggest points of friction that affect development at GitLab. Expect to split your time between hands-on coding in Ruby and Go, designing scalable solutions and helping every team deliver. You’ll be instrumental in shaping our engineering culture across GitLab.

This is a highly visible role with strong company-wide support. You’ll be instrumental in shifting our culture and practices toward a cohesive Developer Experience Platform strategy—backed by buy-in and appetite for change.

### Some examples of our projects

*

Project Examples
In this role, you may lead projects such as:

Internal developer platform adoption: Build and evolve platform capabilities that make it easier for engineering teams to create, deploy, operate, and scale services on Kubernetes.
* Kubernetes-based service onboarding: Define reusable service templates, deployment workflows, configuration patterns, and operational guardrails for teams adopting the platform.
* Developer workflows and test environments: Build development, CI, and test environments that reflect production Kubernetes behavior — including third-party operators and the custom resources services depend on — sequencing CRD establishment, controller readiness, and dependent workloads so engineers get a working environment rather than a partially reconciled one, across both local and remote clusters.
* Platform reliability and observability: Partner with infrastructure and service teams to improve rollout safety, troubleshooting, service health, resource management, and operational visibility across Kubernetes workloads.

What You’ll Do

* Lead and grow a team responsible for developer tooling and internal platform capabilities used by engineering teams to build and operate services.
* Set and execute a roadmap for Kubernetes-based developer workflows, balancing developer experience, platform reliability, security, and operational efficiency.
* Guide the design of reusable onboarding and deployment patterns for services running on Kubernetes, including workloads, networking, configuration and secrets, identity, storage, observability, progressive delivery, and the custom resources and controllers that services depend on.
* Make environment bring-up and teardown deterministic — resolving readiness and ordering dependencies between CRDs, controllers, and the workloads that rely on them — so engineers get reproducible environments instead of intermittent failures.
* Partner with infrastructure, security, and application teams to turn Kubernetes capabilities into simple, well-supported workflows rather than requiring every service team to become a Kubernetes expert.
* Establish engineering standards, documentation, automation, and feedback loops that improve adoption and reduce the time required to bring a service from development to production.
* Coach engineers through architectural decisions, incident follow-up, and production operations while maintaining a clear focus on sustainable team delivery.
* Represent the team with technical and organizational stakeholders, communicate tradeoffs clearly, and use adoption and reliability measures to guide prioritization.

What You’ll Bring

* Deep experience building developer tooling, DevEx platforms, testing frameworks, or CI/CD systems at scale.
* Strong hands-on Go experience designing, implementing, testing, and operating production-quality services, command-line tools, automation, or platform tooling. Experience contributing to Ruby-based systems is also valuable for this role.
* Practical Kubernetes experience building or operating production workloads and platform capabilities, including deployments, services, networking, configuration and secrets, observability, resource management, and troubleshooting.
* Depth in Kubernetes deployment lifecycle: Helm-based deployment and release management, kubeconfig and multi-cluster context handling including deploying into clusters you don’t own, and integrating third-party operators and their custom resources (CloudNativePG, cert-manager and similar) into working environments — including the readiness and ordering problems that come with them: waiting on CRD establishment, controller availability, and custom resources reaching their own definition of ready. Experience authoring a controller or operator is useful but not required.
* Experience designing scalable solutions that improve engineering productivity, test reliability, development environments, or delivery workflows across multiple teams.
* Demonstrated ability to provide technical leadership and influence without authority across engineering, infrastructure, security, and product functions.
* Familiarity with DevOps workflows, CI/CD pipelines, release automation, and production operations.
* Strong written and verbal communication skills in a remote-first environment.
* A product mindset with a passion for empowering developers through simple, reliable, and well-documented workflows.
* Alignment with GitLab values, especially collaboration, iteration, and transparency.

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](https://about.gitlab.com/handbook/total-rewards/benefits/general-and-entity-benefits/) and [equity](https://about.gitlab.com/handbook/stock-options/). Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.

United States Salary Range

$131,600—$282,000 USD

### How GitLab Supports Full-Time Employees

* [Benefits to support your health, finances, and well-being](https://about.gitlab.com/handbook/total-rewards/benefits/general-and-entity-benefits/)
* [Flexible Paid Time Off](https://handbook.gitlab.com/handbook/people-group/time-off-and-absence/time-off-types/#flexible-paid-time-off-pto)
* [Team Member Resource Groups](https://handbook.gitlab.com/handbook/company/culture/inclusion/tmrg-tmag/)
* [Equity Compensation & Employee Stock Purchase Plan](https://handbook.gitlab.com/handbook/total-rewards/stock-options/)
* [Growth and Development Fund](https://handbook.gitlab.com/handbook/people-group/learning-and-development/growth-and-development/)
* [Parental Leave](https://about.gitlab.com/handbook/total-rewards/benefits/general-and-entity-benefits/#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](https://about.gitlab.com/company/culture/inclusion/#examples-of-select-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.](https://handbook.gitlab.com/handbook/hiring/candidate-faq/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](https://about.gitlab.com/handbook/people-policies/inc-usa/#equal-employment-opportunity-policy) and [EEO is the Law](https://about.gitlab.com/handbook/labor-and-employment-notices/#eeoc-us-equal-employment-opportunity-commission-notices). If you have a disability or special need that requires [accommodation](https://about.gitlab.com/handbook/people-policies/inc-usa/#reasonable-accommodation), please let us know during the [recruiting process](https://about.gitlab.com/handbook/hiring/interviewing/#adjustments-to-our-interview-process).

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