Staff Software Engineer, Network Observability Tesla - 3.3 Fremont, CA Job Details Full-time $120,000 - $396,000 a year 13 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 Containerization systems Dashboard development Elasticsearch Software engineering Data replication Rust (programming language) Go Software design High availability solutions design Tooling Improving system uptime or availability Data Retention (Data management) IT system monitoring Dashboard creation support System design Configuration management AIOps Scalable systems Java Infrastructure architecture design Maintaining data pipelines C++ Outlier detection Query execution time improvement Continuous integration Splunk Log analysis tools Mentoring Systems engineering Retention policy implementation Full Job Description What to Expect You will design and build the backbone of Tesla's network monitoring platform, the systems that collect, store, query, and act on telemetry from tens of thousands of network devices across global sites. Metrics pipelines, alerting, device inventory, config management, and the APIs that feed both dashboards and our AI diagnostic system; you own all of it. This platform runs 24/7. When it's down, infastructure is running blind . You'll own the architecture, the uptime, and the scaling challenges that come with it. You will work closely with network engineering to understand operational needs, and with the AI platform team to ensure monitoring data is structured and accessible for intelligent diagnostics. What You'll Do Build metrics collection pipelines that pull data from thousands of devices: polling, streaming, APIs and land it in time series and log storage Own the device inventory and topology system. Discovery, reconciliation, config tracking, change detection, kept accurate at scale Build and run the alerting stack. Threshold checks, baseline comparisons, anomaly detection, catching problems before they cascade Design the APIs that expose device state, metrics, alerts, and relationships to dashboards, CLI tools, and AI agents Build config management and automation tooling. Generate configs from templates, validate them, push them, roll back when things go wrong Keep the monitoring platform itself healthy. Capacity planning, fault tolerance, storage lifecycle, data retention. Monitor the monitors Make sure telemetry data flows cleanly to everything downstream, Grafana, reports, the AI diagnostic engine Lead projects end-to-end. Design docs, code reviews, architecture decisions, mentoring. You're a technical leader, not just a contributor What You'll Bring 8+ years building and running production infrastructure software. Not prototypes; things that page you at 2am when they break Experience in Go, Java, C++, Rust, or Python. You've built services that sustain high throughput ingest and serve queries under load Distributed systems are second nature; you know the real world tradeoffs of consistency, replication, partitioning, and backpressure You've worked with time series databases (Prometheus, Mimir, InfluxDB, VictoriaMetrics) and understand what high cardinality metrics do to storage and query performance You've worked with MetricWeave or similar telemetry normalization frameworks for abstracting multi-vendor device data You've operated log aggregation at scale, Splunk, Elasticsearch, Loki, or similar You're comfortable owning production, CI/CD, containers, Kubernetes, and instrumenting your own services so you know when they're sick You can whiteboard a collection pipeline for 100K devices, point to where it'll fall over, and design around it You've led technical projects from "we should build this" through to production and iteration 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.