Intermediate Backend Engineer, Verify: Runner Core

Overview

Git Lab is an open-core software company that develops the most comprehensive AI-powered Dev Sec Ops  Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating human progress. Our platform unites teams and organizations, breaking down barriers and redefining what's possible in software development.

Thanks to products like Duo Enterprise and Duo Agent Platform, customers get AI benefits at every stage of the SDLC.

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. Git Lab 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.

As an Intermediate Backend Engineer on our Verify:
Runner Core group within the Verify:
Runner organization, you ll help build and evolve Git Lab Runner, the interface between Git Lab and our customers  CI infrastructure. Whether jobs run on Kubernetes clusters, cloud VMs, or on-premises hardware, Git Lab Runner makes it happen. Each week, Runners process millions of jobs for , and our container images are downloaded hundreds of millions of times.

You ll collaborate on technical initiatives and contribute to design and implementation, taking on work that matches your experience while growing your impact over time. You ll learn from how customers use our CI/CD capabilities and use that insight to help the team solve real-world scaling and reliability challenges. This input can come from bug reports, customer escalations, or feedback on executor behavior and performance.

Git Lab Runner users often have demanding CI/CD requirements, and many rely on the infrastructure you help build as a mission-critical part of their software delivery workflows.

• Design and develop features and improvements for Git Lab Runner that are secure, well-tested, and high-performance, with a focus on strong architecture in Go services, appropriate for an intermediate-level engineer.
• Partner with the Product Manager and other Senior Engineers to assess the technical feasibility and scope of Runner-related feature requests, contributing your perspective and asking clarifying questions.
• Contribute to architectural decisions that modernize Runner's technology stack, favoring solutions that address root causes over fixes that treat symptoms.
• Take end-to-end ownership of your features from design through implementation, code review, deployment, monitoring, and iterative refinement.
• Collaborate closely with other engineers on the team and within the Runner Organization through code reviews, pairing, and knowledge sharing, both learning from others and helping raise the overall technical bar.
• Work with cross-functional partners, including Support and Product, to help diagnose, troubleshoot, and resolve customer issues related to Git Lab Runner and CI Functions, and feed those learnings back into the product.
• Engage with Git Lab Runner's vibrant open-source community by triaging bug reports, reviewing community-contributed merge requests, and helping contributors succeed.
• Participate in team rotations including bug triage, community contribution reviews, and support escalation response.

• Proficiency in developing backend services in Go and applying Go best practices in production, whether gained through professional work, open-source contributions, or other hands-on experience.
• Ability to design and build scalable, distributed, and resilient systems that can grow with increasing demand, ideally with exposure to high-throughput CI pipelines, job orchestration, or similar infrastructure.
• Hands-on skills with containerization and orchestration technologies such as Docker and Kubernetes, including deploying and operating services that run CI workloads across diverse environments.
• Ability to analyze, profile, and optimize performance in distributed systems using appropriate tools and observability data, especially for latency-sensitive and resource-intensive CI execution paths.
• Familiarity with cloud-native infrastructure (for example, a major cloud provider or infrastructure-as-code tools) and concepts related to site reliability and operating SaaS platforms that run large-scale CI.
• Comfort with asynchronous communication and proactive written updates, essential for collaborating effectively across a globally distributed team.
• Strong collaboration skills, including working closely with…