McLaren Racing has one single mission: To win Grands Prix and World Championships. To design, build and operate a Formula One car at race-winning levels requires focus, ambition, imagination, dedication and attention to detail.
We’re looking for an experienced DevOps engineer to help us take our software build, test, and release pipelines to the next level. You’ll work with multiple teams to enable features to be quickly and easily released while maintaining consistently high quality levels. The role will be involved in all stages of the development life cycle from conception, through delivery, to production support and monitoring.
About You
- You’re able to design and develop robust and maintainable continuous delivery pipelines for desktop and web applications
- You’ve implemented configuration management to enable faster provisioning, reliability and consistency of infrastructure
- You have a strong background as either a developer, or as a system administrator with a talent for scripting and coding
- You focus on business impact as well as the technology
- You recognise the importance of continuous learning and sharing that knowledge with others
- You enjoy solving problems, choosing the simplest and most elegant approach over the complex one
Knowledge, Skills and Experience
Essential
- Experience deploying and maintaining infrastructure in Azure or AWS
- A working understanding of Docker and orchestration platforms
- Experience implementing automated build, test, and release pipelines using Azure DevOps or a similar platform
- Familiarity working with configuration management tools such as Ansible
- Ability to develop and debug automation scripts using PowerShell or Bash
- Administration experience with Windows and Linux environments
- Experience monitoring and supporting applications running in production
- Comfort with collaboration, open communication and reaching across functional borders
- High competency in written and oral English language
Desirable
- A working knowledge of Terraform
- Previous experience with large scale micro services architectures