Site Reliability Engineer, Diagnostics

Tesla

Palo Alto, California Posted October 25, 2026

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On-site Full-time Mid level
Job Description

Description:
We're the small, expert and growing team creating the next-generation
diagnostics software and services to support the growing fleets of Tesla
products, and we're looking for seasoned SREs with domain expertise in one or
more of: containers, public clouds and cloud-native apps.

Responsibilities:
Capacity planning and analysis,
and infrastructure change management (including tuning, reshaping,
resizing, and migrating infrastructure), for services and their immediate
downstreams

Work with SWE counterparts to
identify and mitigate production issues; validate, document and exercise
failover/disaster recovery plans and graceful degradation mechanisms
policies and standard methodologies

Actively participate and
contribute to code reviews and technical design documents, with an eye
toward identifying performance and reliability bottlenecks

Productionalize new services and
features, as well as improve production landscape for existing services,
providing SRE expertise and implementing standard methodologies in the
areas of CI/CD, dashboard integrity improvements, identifying and
evaluating for the right set of alerts, SLOs and error budgets to use for
services on an ongoing basis

Attend team meetings, standups,
and on-call handoffs

Participate in team on-call
rotation

Requirements:
Degree in Computer Science,
Electrical Engineering, Automotive Engineering, or related field, or
equivalent experience

Expert knowledge of Linux
operating system internals, filesystems, disk/storage technologies, and
storage protocols, and networking stack

Experience with troubleshooting
and full-cycle incident response (mitigation, correction, prevention)

Experience handling services in a
large-scale distributed systems environment

Experience with containerization
software such as Kubernetes, Docker

Expert knowledge of systems
programming (bash and shell tools) and practical, validated knowledge of
at least one higher-level language (Python, Go)

Strong bias for action vs endless
planning, willing to get hands dirty and make mistakes sometimes

Strong belief in spreading &
acquiring knowledge through mentorship and acting like an owner

Experience working in an on-prem
environment a plus

Compensation & Benefits:
Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
Medical plans > plan options with $0 payroll deduction
Family-building, fertility, adoption and surrogacy benefits
Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
Healthcare and Dependent Care Flexible Spending Accounts (FSA)
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
Company paid Basic Life, AD&D
Short-term and long-term disability insurance (90 day waiting period)
Employee Assistance Program
Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
Back-up childcare and parenting support resources
Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
Weight Loss and Tobacco Cessation Programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program

Expected Compensation
$140,000 - $312,000/annual salary + cash and stock awards + benefitsPay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

Required Skills
cloud-native change management CI/CD electrical engineering Linux troubleshooting distributed systems Kubernetes Docker Bash Python mentoring compensation
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