What is a DevOps Engineer?

At GitLab, a DevOps Engineer (often aligned with Site Reliability Engineering or Infrastructure teams) plays a pivotal role in maintaining the stability, scalability, and performance of the platform that millions of developers rely on daily. Unlike typical DevOps roles where you might manage tooling for a specific product, here you are often "dogfooding"—using GitLab to build and deploy GitLab. You are the architect of the efficiency that defines the company’s product offering.

This role requires a deep understanding of how code moves from development to production in a massive, distributed environment. You will work on complex challenges involving Kubernetes orchestration, CI/CD pipeline optimization, and cloud infrastructure automation (primarily GCP). Your work directly impacts the user experience by ensuring high availability and rapid incident response.

You are not just a maintainer; you are a strategic partner to the engineering organization. You will influence how the company ships software, championing the "Infrastructure as Code" philosophy and ensuring that the GitLab handbook's principles of transparency and iteration are reflected in the technical stack.

Common Interview Questions

These questions are based on real interview experiences from candidates who interviewed at this company. You can practice answering them interactively on Dataford to better prepare for your interview.

Getting Ready for Your Interviews

Preparation for GitLab is unique because the company operates with a high degree of transparency. Your preparation should focus not just on technical competence, but on your ability to function in an all-remote, asynchronous environment.

Technical Proficiency You must demonstrate hands-on expertise with the core stack. Interviewers will evaluate your ability to debug complex systems, specifically focusing on Linux internals, Kubernetes, and cloud networking. You should be comfortable discussing how to scale systems and automate toil using tools like Terraform and Ansible.

The "Manager of One" Mindset GitLab evaluates your ability to work autonomously. Because the company is 100% remote and asynchronous, interviewers look for candidates who can define their own daily priorities, document their work extensively, and communicate clearly without needing constant synchronous oversight.

Values Alignment (The Handbook) Culture fit is assessed rigorously against the GitLab Values (Collaboration, Results, Efficiency, Diversity, Iteration, and Transparency—CREDIT). You will be evaluated on how you embody these values in your past work. For example, do you default to public documentation over private messages? Do you iterate on small changes rather than waiting for perfection?

Interview Process Overview

The interview process at GitLab is renowned for being thorough, structured, and documentation-heavy. Based on candidate data, the process can range from 3 to 8 weeks, depending on the urgency of the role and scheduling logistics. The company prides itself on a "human" approach, often framing interviews as peer-to-peer conversations rather than interrogations, though candidates note that the technical rigor remains high.

You will typically start with a screening call that covers your background and alignment with the company's remote culture. Following this, you will enter a series of rounds that separate behavioral competencies from technical skills. A distinctive feature of GitLab’s process is the potential for a "Take Home Merge Request (MR)" or a practical simulation, where you are asked to review code or solve a Kubernetes infrastructure problem in a live setting.

The final stages involve deep dives with hiring managers and leadership. These sessions focus heavily on "situational" questions—asking you to walk through past incidents or architectural decisions. Throughout the process, expect interviewers to refer to the GitLab Handbook; familiarity with its contents is often a differentiator between a "hire" and a "no hire."

The timeline above illustrates the typical flow. Note that the Technical Assessment can vary; some candidates receive a take-home assignment to simulate an asynchronous workflow, while others face a live troubleshooting session. Be prepared for either format.

Deep Dive into Evaluation Areas

Your interviews will dissect your technical capabilities and your problem-solving methodology. Based on recent interview experiences, you should prepare for the following key areas:

Kubernetes and Container Orchestration

This is a critical evaluation area. You will likely face a scenario where you must troubleshoot a broken cluster or architect a solution for a scaling issue. Interviewers want to see that you understand the underlying components of Kubernetes, not just how to use kubectl.

Be ready to go over:

• Pod Lifecycle & Scheduling – Understanding why pods fail to start, resource limits/requests, and affinity rules.
• Networking – Service discovery, Ingress controllers, and debugging CNI issues.
• StatefulSets vs. Deployments – When to use which, and how to manage persistent storage.
• Advanced concepts – Custom Resource Definitions (CRDs), Helm chart management, and sidecar patterns.

Example questions or scenarios:

• "A deployment in the cluster is crashing in a loop. Walk me through how you debug it."
• "How do you handle secrets management within a Kubernetes environment?"
• "We are seeing high latency in a specific microservice. How do you isolate the issue using standard Linux and K8s tools?"

CI/CD and Release Engineering

Since GitLab is a CI/CD tool, you are expected to be an expert in this domain. You will be evaluated on your ability to design efficient, secure, and reliable pipelines.

Be ready to go over:

• Pipeline Architecture – Stages, jobs, artifacts, and caching strategies to speed up builds.
• GitLab CI/CD specific syntax – .gitlab-ci.yml configuration, runners, and executors.
• Deployment Strategies – Blue/Green, Canary deployments, and feature flags.

Example questions or scenarios:

• "How would you optimize a pipeline that is taking 45 minutes to run?"
• "Describe a scenario where a bad deploy broke production. How did you roll back, and how did you prevent recurrence?"

Scripting and Automation

While you don't need to be a software engineer, you must be proficient in code. Go and Ruby are the primary languages at GitLab, though Python is often acceptable for general DevOps tasks.

Be ready to go over:

• Automation Scripts – Writing scripts to automate operational tasks (e.g., database backups, log rotation).
• Infrastructure as Code (IaC) – Terraform state management, modules, and refactoring legacy infrastructure.
• Code Review – You may be asked to review a Merge Request (MR) and point out security flaws or logic errors.

Example questions or scenarios:

• "Write a script to parse a log file and alert if error rates exceed a certain threshold."
• "Review this Terraform plan. What are the potential risks of applying it to production?"