Professional Services Engineer - KSA
GitLab is hiring a Professional Services Engineer - KSA for a remote role open to applicants in Türkiye. 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.
- GitLab has 247 other open roles on Level.
- Posted in the last few days.
AI in 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.
Remote-
An overview of this role
As a Professional Services Engineer at GitLab, you’ll work with customers to deliver installation, migration, training, and advisory services that help them adopt GitLab successfully. You’ll contribute to deployments ranging from single-node Omnibus installations to reference architectures built with infrastructure as code (IaC) and configuration as code (CaC), using established approaches and getting guidance on more complex designs.
You’ll support migrations from other systems to GitLab SaaS or self-managed deployments, and help customers make practical decisions that improve reliability, security, and day-to-day workflows. You’ll work closely with customers and GitLab’s Product and Engineering teams to resolve delivery questions and share feedback that can improve GitLab and our services.
You’ll own assigned work, communicate progress clearly, and collaborate with Engagement Managers, Project Managers, and other engineers to deliver customer outcomes.
Some examples of our projects
• Supporting GitLab installations and reference architecture deployments using tools like Terraform and Ansible across major cloud providers..
• Contributing to migrations to GitLab SaaS or self-managed GitLab, and sharing customer feedback with GitLab’s Product and Engineering teams..
What you’ll do
• Deliver assigned GitLab Professional Services work, including installation, migration, training, and advisory services across GitLab capabilities..
• Configure and support deployments ranging from single-node Omnibus installations to established reference architectures using IaC and CaC practices..
• Contribute to migration plans and carry out assigned activities to move customers from other systems to GitLab SaaS or self-managed GitLab..
• Work with Engagement Managers and Project Managers to understand customer goals, scope, and delivery expectations..
• Provide practical technical guidance within your area of experience, and ask for support on complex design decisions..
• Communicate progress, blockers, and next steps to customers and project stakeholders..
• Work with GitLab’s Product and Engineering teams to help resolve customer issues and share relevant feedback..
• Contribute ideas that help improve delivery consistency and reduce friction..
• Create clear implementation notes, handoff materials, and other engagement documentation..
What you’ll bring
• Professional exposure to one or more IaC or CaC technologies, such as Terraform, Ansible, Packer, Puppet, Chef, or Kubernetes..
• Experience with at least one major cloud provider, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure..
• Experience using, deploying, or configuring GitLab, including a solid understanding of Git and source control workflows..
• Familiarity with security and AI technologies, or the ability to build knowledge in these areas..
• Experience contributing to customer-facing technical work, such as installation, migration, training, or advisory services..
• Clear written and verbal English communication skills, including the ability to provide status updates and work effectively in a remote, largely asynchronous environment..
• A solution-oriented approach to investigating issues, explaining options, and following through on agreed actions..
• Strong organization and collaboration skills, including the ability to manage assigned work across customer engagements..
• Ability to work effectively in a fully remote organization, document decisions, collaborate across time zones, and work in ways consistent with GitLab’s values..
#LI-CM1
About the team
Professional Services partners closely with Engagement Managers and Project Managers to deliver consistent customer outcomes. The team works with GitLab’s Product and Engineering teams to share customer feedback and improve GitLab. We collaborate remotely across regions and time zones, supporting customers with a wide range of architectures and deployment models while helping them succeed over time.
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.
How we rate this
Professional Services Engineer - KSA at GitLab rates 24 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.
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