Sr. Site Reliability Engineer，Kubernetes

Job description

THE ROLE Tesla's Platform Engineering is looking for a Site Reliability Engineer to join our team. As a member of the team, you will be building and maintaining Kubernetes clusters using infrastructure-as-code tools like Ansible, Terraform, ArgoCD and Helm, and helping the application teams to be successful on our platform. The underlying infrastructure is a mix of on-premises VMs, bare metal hosts and public clouds such as AWS located all around the globe, which presents unique challenges and opportunities to work with different types of infrastructure technologies.

A successful candidate will be expected to possess expert knowledge in Linux fundamentals, architecture and performance tuning, as well as software development skills to match. Experience running Kubernetes in production will be a strong plus. We prefer Golang or Python for any automation or tools we have to build along the way. We are the team that runs production-critical workloads for every aspect of the business at Tesla and sets the standards for other teams, a group of well-rounded generalists that not only solve the hardest problems in the industry but also push other engineering teams at large to be better.

RESPONSIBILITIES

• Manage our Kubernetes clusters on-prem and in the cloud to support our growing workloads.
• Participate in the architecture design process and troubleshooting of live applications with the product teams.
• Participate in a 24x7 on-call rotation.
• Influence architectural decisions with a focus on security, scalability and high performance.
• Set up and maintain monitoring, metrics and reporting systems for fine-grained observability and actionable alerting.
• Author technical documentation for workflows/processes/best practices.

REQUIREMENTS

• 5+ years of experience managing web-scale infrastructure in a production *nix environment.
• Extensive hands-on experience administering and tuning Kubernetes clusters in production, including the use of ArgoCD, Helm, and other cloud-native orchestration tools.
• Deep understanding of container-based workloads and cloud-native architectures.
• Advanced skills in Linux administration, system internals, networking stack, filesystems, resource scheduling, and process management.
• Advanced experience with configuration management and Infrastructure-as-Code tools such as Ansible, Terraform, or Puppet.
• Proven experience with AWS or other major cloud infrastructure providers.
• Proficiency in high-level programming languages (Python, Go, Ruby, and/or Java).
• Strong track record of practical problem-solving and troubleshooting under pressure.
• Ability to prioritize tasks, work independently, and drive projects to completion.
• Excellent communication and documentation skills.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience.
• Self-driven and analytical mindset with a strong bias for action. This job application may involve an interview with an interviewer outside of Tesla China.

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