Tesla

Makes electric cars, robotaxis and grid batteries

Senior Network Engineer - Automation, Datacenter Engineering

Network Engineering & AdministrationConfirmed live in the last 24 hours

Full-timeFremont, CA, USANo salary listedIn-person

About the Job

Requirements

A degree in Computer Science, Information Technology, Electrical Engineering, or a related field, or equivalent practical experience.
3–5 years of experience operating or automating mid- to large-scale data center networks.
Deep command of IP networking, including TCP/IP, BGP, VLANs, routing, and switching, with the ability to diagnose discrepancies across BGP sessions, routes, command-line snapshots, and graphs.
Production experience with Python, including parsing JSON and YAML, Jinja templating, and REST APIs, with tests and code review supporting changes.
A record of investigating discrepancies across command-line output, logs, and dashboards through root cause and durable resolution.
Experience building network observability through metrics, logs, and dashboards and using it to inform operator actions.
Clear technical writing, including explaining scripts and dashboards to operators and producing executable runbooks.
Production work with BGP policy, quality of service, and interface or optics metrics.
Ownership of Grafana, Prometheus/PromQL, or a similar observability stack such as Kentik or Catchpoint.
Experience maintaining accurate NetBox or another source-of-truth or IP address management system through changes.

Responsibilities

Own applications that call device APIs, inventory systems, and monitoring platforms, and keep them reliable for engineers operating the data center networks.
Own Grafana coverage and the metrics behind device health, interfaces, optics, routing, and fabric congestion, and investigate and resolve discrepancies between dashboards and devices.
Validate streaming telemetry end to end, including gNMI, syslog, and related pipelines, so operators see what the switch sends.
Maintain accurate source-of-truth data, including device inventory, roles and tags, prefixes, and onboarding records.
Own automated health checks for reachability, BGP, and interface metrics, and close gaps between telemetry and live device state.
Replace repetitive operational work with automation, including configuration templates used in production changes.
Design agentic workflows that let engineers query network state through existing APIs, with tool-calling, guardrails, traces, and a deterministic fallback when the model is wrong.
Investigate noisy or missing metrics, document findings in runbooks, and maintain standards in code review and CI/CD for network automation.

Category	Engineering & Information Technology
Location	Fremont, California
Requisition ID	288392
Type	Full-time

Job Description

<div class="MSWordContent"><p>We are seeking an experienced Senior Network Engineer to own day-to-day operations of the data center network and to drive refresh and infrastructure improvements. This role requires hands-on operational work, hardware migration/refresh planning, and configuration management, with an SRE mindset focused on standardization, visibility, stability, reliability, and availability. </div>

Job Responsibilities

Own applications that call device APIs, inventory systems, and monitoring platforms, and keep them reliable for the engineers who operate Tesla data center networks
Own Grafana coverage and the metrics behind device health, interfaces, optics, routing, and fabric congestion, and drive a fix when a panel does not match the device
Validate streaming telemetry end to end — gNMI, syslog, and the pipelines around them — so operators see what the switch actually sends
Keep source-of-truth data accurate: device inventory, roles and tags, prefixes, and onboarding records
Own automated health checks for reachability, BGP, and interface metrics, and close gaps between telemetry and live device state
Replace repetitive operational work with automation, including configuration template used in real changes
Design agentic workflows that let engineers query network state through existing APIs, with tool-calling, guardrails, traces, and a deterministic fallback when the model is wrong
Investigate noisy or missing metrics, write the runbook and the finding, and hold the bar in code review and CI/CD for network automation

Job Requirements

Degree in Computer Science, Information Technology, Electrical Engineering, or a related field, or equivalent practical experience
3-5 years operating or automating mid- to large-scale data center networks
Deep command of IP networking: TCP/IP, BGP, VLANs, routing, and switching. You can read a BGP session, a route, a CLI snapshot, and a graph and say which one is wrong
Python you have run in production: parsing JSON and YAML, Jinja templating, and REST APIs, with tests and code review behind the change
A record of chasing discrepancies across CLI output, logs, and dashboards through to a root cause and a durable fix
Experience building how a network is observed — metrics, logs, and dashboards — and using that to change what operators do next
Clear writing. You can explain what a script or a dashboard is telling an operator, and leave a runbook someone else can execute
Production work with BGP policy, QoS, and interface or optics metrics
Ownership of Grafana, Prometheus/PromQL, or a similar observability stack (Kentik, Catchpoint)
NetBox or another source-of-truth / IPAM system you have kept accurately under change

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

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