> Markdown version of [/jobs/ext/3743688-staff-site-reliability-engineer-factory-software](https://www.wearedevelopers.com/jobs/ext/3743688-staff-site-reliability-engineer-factory-software). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Site Reliability Engineer, Factory Software - **Company:** Tesla Motors - **Location:** Fremont, CA, United States - **Experience:** Expert - **Salary:** $200,000.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Databases, Linux, Distributed Systems, Middleware, Python (Programming Language), Linux System Administration, Routing, Reliability Engineering, Prometheus, Software Engineering, Virtual Local Area Networks, Virtual Machines, Load Balancing, Grafana, Firewalls (Computer Science), Kubernetes, Production Code, Performance Monitor, Build Tools, Splunk, Docker - **Published:** October 15, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/87333121/1 ## About the Role * 7+ years of experience in Site Reliability Engineering, Platform Engineering, or related systems roles, with significant hands-on experience at scale * Strong technical expertise in Kubernetes, Docker, Linux administration, and networking (routing, VLANs, firewalls, load balancers) * Deep experience with observability tools and concepts (Prometheus, Grafana, Tempo, OTEL, Splunk, etc.) * Proven track record of designing and implementing reliable, observable distributed systems * Proficiency in at least one high-level language (Go, Python, or Java) with experience writing production-grade code * Demonstrated ability to lead technical initiatives and raise the engineering bar without formal people management authority * Experience with on-call rotations, incident command, and driving reliability improvements through blameless post-mortems * Strong bias for action, excellent communication skills, and a desire to mentor and uplift other engineers * Experience in manufacturing, industrial automation, or complex operational environments is a strong plus ## Description The Factory Software team at Tesla is building critical applications to enable manufacturing and warehouse management with a strong emphasis on reliability, availability, scalability, speed, and security. We are a diverse, cross-functional team of Controls Engineers, Software Engineers, SREs, and other disciplines working on automated manufacturing and warehouse processes. As a Staff Site Reliability Engineer, you will be one of the primary technical owner and leader for the Factory Software team's reliability, observability, and infrastructure strategy. You will combine deep hands-on engineering with leadership to set technical direction, raise the bar on engineering practices, and ensure the full stack - from Kubernetes clusters and databases to factory-facing applications - is highly reliable, observable, and performant. What You'll Do * Design and implement end-to-end observability and telemetry solutions (OTEL, Prometheus, Grafana, Tempo, etc.) while mentoring the team on best practices * Own the reliability of the full stack: Kubernetes infrastructure, virtual machines, databases, and the middleware applications connecting PLCs, MES systems, and other factory services * Define and drive SLIs, SLOs, error budgets, and golden signals across services * Provide technical leadership and set the vision for observability, reliability, and platform standardization across the Factory Software team * Lead major initiatives to eliminate speed bottlenecks, database contention, and infrastructure issues through proactive monitoring and automation * Write production-grade code and build tools to reduce toil and improve deployment, monitoring, and operational workflows * Participate hands-on in on-call rotations, live troubleshooting during outages (NOC bridges), and blameless post-mortems * Collaborate closely with Platform Engineering, Infrastructure, Controls Engineering, and Software Engineering teams to embed reliability and observability into architecture and development practices * Mentor and coach engineers on technical excellence, observability, Kubernetes, Linux, networking, and reliable system design * Drive continuous improvement in incident response, system performance, and engineering standards across the team