Staff Backend Engineer, Gitlab Delivery: Upgrades

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. An overview of this role As a Staff Engineer on the GitLab Delivery - Upgrades team, you’ll guide the technical direction for GitLab’s self-managed deployment strategy so customers can deploy, upgrade, and run GitLab reliably in their own infrastructure with minimal disruption. You’ll serve as a technical anchor for the team, working closely with your engineering manager, product manager, and partners across Site Reliability Engineering, Release, Security, and Development to shape cloud-native, operator-driven deployment patterns that reduce operational complexity and upgrade friction. In your first year, you’ll help define the architecture for zero-downtime upgrades, strengthen observability and reliability practices, and guide the next generation of deployment automation for self-managed GitLab environments. Some examples of our projects: Evolving GitLab Operator and Helm charts to support zero-downtime upgrades for complex, stateful GitLab installations Advancing the GitLab Environment Toolkit to simplify large-scale, production-ready self-managed deployments What you’ll do Guide the technical vision and architecture for GitLab’s cloud-native, self-managed deployments and upgrade workflows. Establish operational maturity standards, service integration patterns, and deployment models that help development teams manage the lifecycle of their components. Design and maintain Kubernetes Operators, Helm charts, and upgrade orchestration tooling for self-managed GitLab deployments across varied environments. Develop automation and integration frameworks for database migrations, rolling deployments, compatibility checks, and rollback paths. Define database and application lifecycle strategies, including safe PostgreSQL migration approaches and validation mechanisms that reduce downtime risk. Work with Product Management, GitLab.com Site Reliability Engineering, GitLab Dedicated, and development teams to align deployment patterns with customer needs. Mentor engineers and enable customer-facing teams through design reviews, code reviews, documentation, and runbooks. Drive observability, testing, performance, and resilience practices for self-managed deployments, and contribute to incident response and post-incident learning. What you’ll bring Strong software engineering experience designing and delivering production systems that customers install and operate in their own infrastructure. Proficiency in Go for large, complex codebases, with familiarity with Ruby on Rails and Rails application architecture as a useful addition. Hands-on experience with Kubernetes in production , including building and maintaining Operators, designing Helm charts for stateful applications, and working with Custom Resource Definitions, admission controllers, and controller patterns. Knowledge of cloud-native systems and tooling , such as service mesh, observability stacks, infrastructure as code, and automation tools like Terraform or Ansible. Experience with stateful workloads and databases , including PostgreSQL schema design and migrations, persistent volumes, storage classes, and approaches for reducing downti