GitLab is the intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity and improve operational efficiency. As a Senior Site Reliability Engineer specializing in Environment Automation, you will focus on automating the lifecycle of GitLab environments, ensuring they are secure, consistent, and reliable at scale while driving operational excellence and collaboration with engineering teams.
Responsibilities:
- Build & Scale Multi-Tenant Infrastructure: Design and implement automation that provisions and manages hundreds of isolated GitLab environments using Terraform, Ansible, and Kubernetes. Manage complex state strategies and workspace configurations to support scale and maintainability
- Debug & Resolve Production Issues: Troubleshoot issues across Kubernetes clusters, cloud services, and GitLab apps—identifying root causes of failed deployments, crash loops, and scheduling conflicts to ensure service continuity
- Automate Operations at Scale: Replace manual workflows with infrastructure-as-code solutions, including automated version upgrades, configuration rollouts, and provisioning pipelines that operate reliably across all tenants
- Monitor & Predict Capacity: Build observability systems that detect bottlenecks, predict usage trends, and optimize resource consumption using tools like Prometheus, ELK, and Grafana
- Respond & Lead During Incidents: Lead incident response and postmortem efforts, applying technical depth to resolve issues and establish operational standards that reduce future risk
- Architect & Collaborate: Influence architectural decisions around automation, scalability, and operational excellence. Partner with engineering teams to improve automation, platform resilience, and production-readiness
Requirements:
- Proven ability to operate and troubleshoot production workloads across multiple tenants or environments
- Deep understanding of how distributed systems fail at scale and how to build in resilience
- Strong hands-on experience with Terraform, including workspace strategies, state management, and automation patterns that scale
- Skilled at diagnosing deployment failures, interpreting pod logs, and debugging scheduling issues and rollback scenarios in live environments
- Ability to read and debug code in Go and/or Ruby
- Experience supporting infrastructure for many customers or environments simultaneously
- Able to reason through complex systems and operational challenges
- Proven ability to work across teams and with internal or external customers to solve technical problems while maintaining service commitments and clear communication
- Comfortable using GitLab as a daily tool for infrastructure automation, collaboration, and operational workflows
- Experience with Ansible and templating tools like Jsonnet
- Brings on-call experience and can lead technical discussions and incident resolution efforts under pressure