This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Site Reliability Engineer (SRE) at GitLab, you’ll help keep all user-facing services and production systems reliable, scalable, and efficient. Our SREs combine a pragmatic operations mindset with strong software engineering practices to drive automation, reduce toil, and improve resilience across our platform. In the Environment Automation specialization, your focus is on operating and automating hundreds of GitLab environments—from initial provisioning to day-to-day maintenance tasks. Unlike other SRE roles, this position centers on automating the lifecycle of many tenant environments, ensuring they remain secure, consistent, and reliable at scale. - Designing infrastructure automation that provisions and operates GitLab environments using Terraform, Ansible, and Kubernetes - Creating and maintaining deployment packages for GitLab, such as Helm Charts and omnibus-gitlab - Building and operating Dedicated GitLab instances integrated with cloud-native services (e.g., GCP, AWS) - Developing tools to orchestrate infrastructure-as-code workflows across multiple tenants - Deploying and managing microservices on Kubernetes clusters at scale - Enhancing GitLab’s observability stack (e.g., Prometheus, ELK) to support proactive monitoring and incident response - Integrating with and operating infrastructure in cloud provider ecosystems (e.g., IAM, networking, storage) - Championing and implementing cloud security best practices across automated infrastructure Qualifications - Proven ability to operate and troubleshoot production workloads across multiple tenants or environments - 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 - Comfortable using GitLab as a daily tool for infrastructure automation, collaboration, and operational workflows Requirements - Production-Scale Experience: Deep understanding of how distributed systems fail at scale and how to build in resilience - Terraform & IaC Mastery: Comfortable solving state isolation issues and building reliable, reusable infrastructure code - Kubernetes in Production: Understands how pods, ReplicaSets, and controllers interact in production - Large Scale Operations Background: Comfortable managing isolation, scaling, monitoring, and incident response across diverse workloads - Architecture & Incident Response: Brings on-call experience and can lead technical discussions and incident resolution efforts under pressure Benefits - Flexible Paid Time Off - Team Member Resource Groups - Equity Compensation & Employee Stock Purchase Plan - Growth and Development Fund - Parental leave - Home office support

• Build infrastructure/systems that balance operational excellence, security, reliability, performance efficiency and cost optimization. • Improve the observability of our systems to anticipate and address issues before they become critical, leveraging strategies like infrastructure as code, system operational and health metrics, CICD pipelines and infrastructure automation. • Contribute to DevOps roadmaps, helping balance priorities like modernizing past infrastructure, supporting new projects and deployments, and improving/hardening systems where it is needed most. • Integrate AI-powered tools into DevOps workflows for Predictive monitoring, Anomaly detection, Intelligent alerting and Auto-remediation • Leverage AI/ML insights to optimize: CI/CD pipelines, Deployment strategies, Infrastructure performance and cost • Build and maintain self-healing systems using AI-based observability platforms • Support our initiatives for modernizing/centralizing our cloud footprint in partnership with business, analytics, software, InfoSec, and data science teams. • Design and enforce SDLC & Infosec & Compliance requirements. • Assist with root cause analysis/remediation for system incidents. • Provide support to engineering team in basic database operations (Postgres, SQL Server) in running SQL scripts, creating database objects and troubleshooting performance and connection issues. • Implement Infrastructure as Code (IaC) using Terraform • Provide 24x7x365 monitoring, incident response, and on-call support as part of the Devops team.

• Collaborate closely with data teams to support the development and deployment of innovative and efficient data solutions. • Respond to and fulfill platform requests from various data teams of the client, including internal business stakeholders, data analytics professionals, data engineers, and quality assurance teams.

• Collaborate closely with data teams to support the development and deployment of innovative and efficient data solutions. • Respond to and fulfill platform requests from various data teams of the client, including internal business stakeholders, data analytics professionals, data engineers, and quality assurance teams.