Site Reliability Engineer, Environment Automation

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Site Reliability Engineer, Environment Automation | WithMira

Resumo da vaga

Site Reliability Engineer, Environment Automation

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

An overview of this role

Contribute to the design and evolution of infrastructure automation using Terraform, Ansible, and Kubernetes to provision, upgrade, and operate many GitLab environments with minimal manual effort
Help debug and resolve production issues across Kubernetes clusters, GitLab components, and cloud services, then assist in building automation and safeguards that prevent similar issues from recurring
Assist in creating and maintaining deployment and orchestration tools, such as Helm Charts, omnibus-gitlab configurations, and multi-tenant workflows, that make it easy for teams to manage GitLab environments at scale

What you'll do

Contribute to automating operational tasks across many GitLab environments, from initial provisioning and configuration updates to upgrades and routine maintenance, helping reduce manual work and improve reliability at scale under the guidance of senior team members.
Help build and refine the observability stack for multi-tenant GitLab environments so we monitor the right signals across Kubernetes, cloud services, and GitLab applications, supporting early issue detection and basic capacity tracking.
Assist in responding to platform alerts and incidents, collaborating with Environment Automation SREs and engineering teams to troubleshoot production issues across multiple tenants and document findings.
Support planning and implementation of infrastructure changes, capacity expansions, and new service rollouts for Dedicated and other managed GitLab environments, contributing to efforts that improve resource efficiency and environment isolation.
Develop and maintain scripts, automation tools, and infrastructure-as-code workflows that manage parts of the GitLab environment lifecycle, enabling more repeatable, self-service operations over time.
Apply and help implement best practices for running GitLab on Kubernetes and cloud platforms, focusing on day-to-day reliability, performance, and security while learning how to keep environments consistent.
Participate in the on-call rotation for production GitLab environments with appropriate support, helping triage and mitigate incidents across clusters and cloud providers and contributing to post-incident reviews.
Document operational tasks, runbooks, and lessons learned so they become clear, repeatable processes and can be candidates for future automation, improving shared knowledge and reducing manual toil across the team.

What you'll bring

Experience working as an SRE or in a similar role operating production infrastructure, with an interest in automating the lifecycle of many environments or tenants in parallel, even if you have not yet done so at large scale.
Hands-on experience with backend programming languages such as Golang, with the ability to read, understand, and modify infrastructure tools.
Hands-on experience running Kubernetes-based workloads in production, including basic understanding of deployments, rollouts, and debugging common issues like crash loops, failed health checks, and scheduling problems.
Familiarity with infrastructure automation and configuration management tools such as Terraform and Ansible, including experience working with modules, variables, and managing state safely for multiple environments.
Solid understanding of Git-based workflows and infrastructure-as-code practices, with the ability to contribute to reusable modules, templates, and pipelines that make automation safer and more consistent.
Experience working in distributed systems or cloud-based production environments, ideally in SaaS or managed service settings, with comfort participating in incident response and on-call rotations under guidance from more senior team members.
A proactive mindset focused on automation and documentation—you look for opportunities to remove manual steps, improve runbooks, and turn repetitive tasks into reliable, self-service tools.
Comfort working asynchronously across distributed teams and a desire to contribute to GitLab's values of collaboration, transparency, and iteration.