Sr. Site Reliability Engineer, Observability Tesla - 3.3 Fremont, CA Job Details Full-time $120,000 - $396,000 a year 16 hours ago Benefits Commuter assistance Health savings account AD&D insurance Paid holidays Disability insurance Health insurance Dental insurance Flexible spending account Flextime Adoption assistance Employee assistance program 401(k) matching Employee discount Benefits from day one Pet insurance Qualifications System troubleshooting Linux support Kubernetes High availability solutions design Tooling Improving system uptime or availability IT system monitoring System design SQL System design for system development Distributed systems Query execution time improvement System deployment Distributed computing System tuning Query management Linux administration System performance monitoring Full Job Description What to Expect In this role, you will design and operate Tesla's enterprise-grade observability solutions, delivering end-to-end visibility across digital, manufacturing, fleet, and Autopilot platforms. You will be part of the Observability team, which owns and operates the full observability stack, including a large-scale metrics platform processing more than one billion active time series, dashboards and alerting for real-time visibility, and a log ingestion platform handling 700+ TB of data daily. Together, these systems provide critical visibility across Tesla's internal and global infrastructure. This role requires deep expertise in observability technologies, distributed systems, Kubernetes, and high-availability design, as well as the ability to leverage AI-assisted tooling to accelerate troubleshooting, operational efficiency, and system reliability. What You'll Do Design, build, and operate a multi-tenant Grafana Mimir estate processing 1B+ active series, including ingestion, query paths, compactors, and long-term object storage Operate Splunk as a multi-site clustered platform ingesting 700+ TB of logs per day, covering indexer health, search head performance, and cluster replication Build and tune Cribl (or equivalent) pipelines for routing, filtering, and enrichment of metrics and logs across sitesExtend Cardinal Wright, our internal cardinality watchdog, to detect tenant label explosions at ingestion before they impact the query path Run Kubernetes for the observability stack itself, including node placement, PVC and storage failures, workload scheduling, and cluster monitoring Participate in on-call rotations and lead incident response when the observability platform itself is the source of an outage Apply AI to this stack where it is safe to do so including query helpers, anomaly detection hints, and draft runbooks while keeping a human in the loop when the blast radius could extend to a factory line or vehicle Collaborate with SREs, architects, and application teams to deliver end-to-end service visibility across Tesla's digital, manufacturing, fleet, and Autopilot platforms What You'll Bring Strong hands-on experience with observability stacks including Grafana Mimir / Prometheus / cortex / Thanos, or equivalent enterprise-grade metrics platforms Deep expertise in Linux system internals, large-scale performance tuning, and systems administration Solid hands-on experience with Kubernetes configuration, networking, deployment, and multi-cluster HA architectures Advanced proficiency in PromQL and SQL, with strong understanding of high-cardinality metrics, label design, and series explosion impacts on storage and query performance Strong knowledge of monitoring and observability practices including OpenTelemetry (OTLP), Protobuf, and Prometheus-based metrics collection Experience with distributed systems architecture, multi-region deployments, and high-availability cluster design Good to have familiarity with S3-compatible object storage and exposure to distributed streaming systems such as Apache Kafka or Redpanda Good to have knowledge of configuring and managing authentication mechanisms (OAuth, reverse proxies, API gateways, mTLS) Proven troubleshooting expertise and performance optimization experience in large-scale distributed metrics and logs platforms. Splunk administration is a plus Strong scripting and automation skills (Python, Ansible, GitHub Actions), excellent documentation practices, and participation in on-call and incident management processes 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 $120,000 - $396,000/annual salary + cash and stock awards + benefits Pay 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. Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.