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# Sr. Site Reliability Engineer, Robotaxi & Optimus, Vehicle Software

- **Company:** Tesla Motors
- **Location:** Palo Alto, CA, United States
- **Experience:** Expert
- **Salary:** $124,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, Software as a Service, Cloud Computing, Continuous Integration, Data Centers, Linux, Python (Programming Language), Software Architecture, Rapid Prototyping Process, Reliability Engineering, Ansible, Ruby, HybridCloud, Build Management, Kubernetes, Data Analytics, Terraform, Docker, Golang, Microservices
- **Published:** October 18, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/87800509/1

## About the Role

* Experience building and maintaining SaaS infrastructure
 * Expert skills with Linux, networking, storage and virtualization automation with tools like Kubernetes, Terraform, Ansible, Chef et al
 * Proficiency in a high-level language like Python, Go, Ruby and/or Java
 * Strong belief in spreading (& acquiring) knowledge through mentorship and acting like an owner

## Description

Join us and you will work alongside world-class software and data engineers on some of the newest and most challenging IoT and service engineering problems in the world today. The platform you help us build and automate will be used daily by millions of Tesla owners (and tens of thousands of Tesla employees) to improve and enhance the functionality of our cars, chargers, and batteries worldwide. The Fleenet SRE position is a diverse job with a wide range of responsibilities and impact. If you're a highly self-motivated software engineer with a passion for driving infrastructure, security and reliability, Fleetnet SRE is a good fit for you.
What You'll Do

 * Design and write software that enables rapid prototyping by development teams, while ensuring the highest levels of reliability and availability
 * Drive the migration of large-scale, distributed fleet applications towards cloud-native microservices
 * Influence architectural decisions with focus on security, scalability and high-performance
 * Automate the build and deployment of infrastructure using Docker, Kubernetes & other orchestration technologies in a hybrid-cloud environment
 * Setup and maintain monitoring, metrics & reporting systems for fine-grained observability and actionable alerting
 * Setting up and supporting CI/CD
 * Scaling through data-driven capacity planning, within both physical data centers and Cloud infrastructure (AWS, GCP or Azure)
 * Troubleshooting and full-cycle incident response (mitigation, correction, prevention)