Site Reliability Engineer, Observability Platform

You may be a fit to this role if you have some of these inclinations:

• Experience with Kubernetes deployment and management
  
• Experience with Elastic Cloud, Loki, Fluentd, Promtail or other logging systems tools
  
• Experience with Promethus and/or Thanos deployment management
  
• Think about systems: edge cases, failure modes, behaviors, specific implementations.
  
• Experience with or exposure to Bigquery and general cloud providers such as GCP and AWS
  
• Know your way around Linux and the Unix Shell.
  
• Know what is the use of configuration management systems like Terraform, Chef and/or Ansible.
  
• Have an urge to collaborate and communicate asynchronously.
  
• Have an urge to document all the things so you don’t need to learn the same thing twice.
  
• Have an enthusiastic, go-for-it attitude. When you see something broken, you can’t help but fix it.
  
• Have an urge for delivering quickly and effectively, and iterating fast.
  
• Share our values, and work in accordance with those values.
  
• Ability to use GitLab
  

Projects you could work on:

• Coding infrastructure automation with Chef, Ansible, Terraform, and GitLab CI/CD
  
• Improving our Prometheus Monitoring or building new metrics
  
• Helping release managers deploy and fix new versions of GitLab-EE.
  
• Plan, prepare for, and execute the migration of GitLab.com from virtual machines running on Google Cloud to cloud-native container-based deployments with Kubernetes using Google Kubernetes Engine.
  
• Develop a relationship with a product group, define their SLAs, share GitLab.com data on those SLAs and improve their reliability
  

You may be a fit to this role if you have some of these inclinations:

• Experience with Kubernetes deployment and management
  
• Experience with Elastic Cloud, Loki, Fluentd, Promtail or other logging systems tools
  
• Experience with Promethus and/or Thanos deployment management
  
• Think about systems: edge cases, failure modes, behaviors, specific implementations.
  
• Experience with or exposure to Bigquery and general cloud providers such as GCP and AWS
  
• Know your way around Linux and the Unix Shell.
  
• Know what is the use of configuration management systems like Terraform, Chef and/or Ansible.
  
• Have an urge to collaborate and communicate asynchronously.
  
• Have an urge to document all the things so you don’t need to learn the same thing twice.
  
• Have an enthusiastic, go-for-it attitude. When you see something broken, you can’t help but fix it.
  
• Have an urge for delivering quickly and effectively, and iterating fast.
  
• Share our values, and work in accordance with those values.
  
• Ability to use GitLab
  

Projects you could work on:

• Coding infrastructure automation with Chef, Ansible, Terraform, and GitLab CI/CD
  
• Improving our Prometheus Monitoring or building new metrics
  
• Helping release managers deploy and fix new versions of GitLab-EE.
  
• Plan, prepare for, and execute the migration of GitLab.com from virtual machines running on Google Cloud to cloud-native container-based deployments with Kubernetes using Google Kubernetes Engine.
  
• Develop a relationship with a product group, define their SLAs, share GitLab.com data on those SLAs and improve their reliability
  

• Be on an on-call (PagerDuty) rotation to respond to incidents that impact GitLab.com availability, and provide support for service engineers with customer incidents.
  
• Use your on-call shift to prevent incidents from ever happening.
  
• Run our infrastructure with Chef, Ansible, Terraform, GitLab CI/CD, and Kubernetes.
  
• Build monitoring that alerts on symptoms rather than on outages.
  
• Document every action so your findings turn into repeatable actions and then into automation.
  
• Use the GitLab product to run GitLab.com as a first resort and improve the product as much as possible
  
• Improve operational processes (such as deployments and upgrades) to make them as boring as possible.
  
• Design, build and maintain core infrastructure that enables GitLab scaling to support hundreds of thousands of concurrent users.
  
• Debug production issues across services and levels of the stack.
  
• Plan the growth of GitLab’s infrastructure.