Cloud Platform Engineer
GitLab is hiring a Cloud Platform Engineer for a remote role open to applicants in Canada. It pays $115k-$194k a year and Level rates it ; you can apply on GitLab.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- This is listed as a remote role.
- The posting mentions Runway, Kubernetes and Argo Cd among its tools and skills.
- GitLab has 238 other open roles on Level.
- Posted within the past two weeks.
AI in this role
Design and maintain cloud infrastructure, Kubernetes clusters, and GitOps workflows for developer tooling.
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.
Cloud Platform EngineerAn overview of this role
As a Cloud Platform Engineer on the Runway team, you'll help design, build, and maintain the infrastructure and developer tooling that powers our engineering organization. You'll advance our Kubernetes-based platform, mature our GitOps practices, and expand infrastructure as code adoption across the business. This hands-on role brings together infrastructure, automation, and developer experience, helping application teams deploy and operate their services.
What you’ll do
- Operate and improve production Kubernetes clusters across cloud environments, managing upgrades, scaling, and reliability throughout the cluster lifecycle.
- Own and extend Argo CD-based GitOps workflows, maintaining ApplicationSets, managing sync policies, and enforcing deployment standards across environments.
- Write, review, and maintain reusable Terraform modules, with clear practices for state management and drift detection.
- Monitor platform health, respond to incidents, conduct post-mortems, and improve availability, performance, and observability.
- Collaborate with application teams to onboard services, and create documentation, runbooks, and self-service tooling that improves developer productivity.
- Implement role-based access control, network policies, and secrets management to meet infrastructure security and compliance requirements.
- Integrate platform capabilities with continuous integration and continuous delivery (CI/CD) pipelines to support end-to-end delivery workflows.
What you’ll bring
- Experience operating Kubernetes in production and working with at least one major cloud provider: Amazon Web Services, Google Cloud, or Microsoft Azure.
- Experience with Argo CD or comparable GitOps tooling, such as Flux.
- Proficiency in Terraform for cloud infrastructure provisioning, including remote state, workspaces, and module design.
- Ability to write scripts and automation in Python, Bash, or Go.
- Familiarity with Helm for Kubernetes package management.
- Understanding of networking fundamentals, including the Domain Name System (DNS), load balancing, ingress, and service mesh concepts.
- Clear written and verbal communication, with the ability to document systems and collaborate across teams.
- Optional: experience with managed, multi-cluster, or multi-region Kubernetes, service meshes, policy as code, observability, or Kubernetes-native infrastructure as code; open source or platform tooling contributions; or relevant certifications.
About the team
The Runway team builds and maintains infrastructure and developer tooling for GitLab's engineering organization. Its work centers on a Kubernetes-based platform, GitOps delivery practices, and infrastructure as code. The team collaborates with application teams to onboard services and improve developer productivity through documentation, runbooks, and self-service tooling.
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$115,000—$194,000 USDHow 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.
How we rate this
Cloud Platform Engineer at GitLab rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used Runway hands-on?
- Walk me through how you've used Kubernetes in your day-to-day work.
- What are the limits of Argo Cd that you've run into, and how did you work around them?
- What's a project where you used Terraform hands-on?
Adapt your resume
- List these exact terms on your resume: Runway, Kubernetes, Argo Cd, and Terraform. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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