Senior Site Reliability Engineer, Tenant Services – Geo
India
Full Time
2 weeks ago
No Sponsorship
Key skills
AnsibleAWSChefCloudDistributed SystemsGoogle Cloud PlatformGrafanaKubernetesPrometheusPythonRubyTerraformGoShellAmazon Web ServicesGoogle CloudGitLab CIHelmGitLabSaaSCI/CDCommunicationCollaboration
About this role
Role Overview
Execute Dedicated Geo migrations and cutovers end-to-end, including planning, pre-cutover validation, execution, and post-cutover verification and cleanup.
Join the team’s shift and weekend coverage rotation for Dedicated cutovers across EMEA and US hours, and participate in the SaaS Site Reliability Engineering (SRE) on-call rotation to respond to incidents that impact GitLab.com availability.
Operate and improve the Geo operational surface for Dedicated, including:
Environment preparation and data hygiene checks prior to migrations.
Execution of replication, validation, and cutover procedures.
Handling Geo-related escalations from Support and internal partners.
Design, build, and maintain automation, tooling, and runbooks that make migrations, cutovers, and Geo escalations as “boring” and repeatable as possible.
Run our infrastructure with tools such as Ansible, Chef, Terraform, GitLab CI/CD, and Kubernetes; contribute improvements back to GitLab’s product and infrastructure where appropriate.
Build and maintain monitoring, alerting, and dashboards that:
Detect symptoms early, not just outages.
Track migration and cutover success rates, duration, rollback frequency, and related SLOs.
Collaborate closely with:
The core Geo team on improving Geo features and operability.
Dedicated migrations and Support on migration planning, customer communications, and escalation handling.
Other Infrastructure teams on capacity planning, disaster recovery, and reliability improvements.
Contribute to readiness reviews, incident reviews, and root cause analyses, turning learnings into changes in automation, process, or product.
Document every action, including runbooks, architecture decisions, and post-incident reviews, so your findings turn into repeatable practices and automation.
Proactively identify and reduce toil by automating repetitive operational work and simplifying migration workflows.
Requirements
Experience operating highly-available distributed systems at scale, ideally in a SaaS environment with customer-facing SLAs.
Hands-on experience with at least one major cloud provider (e.g., Google Cloud Platform or Amazon Web Services), including networking, storage, and managed services.
Experience with Kubernetes and its ecosystem (e.g., Helm), including deploying and troubleshooting workloads.
Experience with infrastructure as code and configuration management tools such as Terraform, Ansible, or Chef.
Strong programming skills in at least one general-purpose language (preferably Go or Ruby) and proficiency with scripting (e.g., Shell, Python).
Experience with observability systems (e.g., Prometheus, Grafana, logging stacks) and using metrics and logs to troubleshoot performance and reliability issues.
Practical exposure to data replication, backup/restore, or migration scenarios (e.g., database replication, storage replication, or Geo-like technologies) where data integrity and downtime risk must be carefully managed.
Comfort participating in an on-call rotation, investigating incidents across the stack, and driving follow-through on corrective actions.
Ability to engage directly with enterprise customers during migrations and incidents, including on live calls and through clear written updates.
Ability to clearly define problems, propose options, and think beyond immediate fixes to improve systems and processes over time.
Ability to be a “manager of one”: self-directed, organized, and able to drive work to completion in a remote, asynchronous environment.
Strong written and verbal communication skills, with a bias toward clear, asynchronous documentation and collaboration.
Alignment with our company values and a commitment to working in accordance with those values.
Tech Stack
Ansible
AWS
Chef
Cloud
Distributed Systems
Google Cloud Platform
Grafana
Kubernetes
Prometheus
Python
Ruby
Terraform
Go
Benefits
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan