DevOps Engineer, Vehicle Software

  • Palo Alto, CA
  • Posted 4 days ago | Updated 7 hours ago

Overview

On Site
USD 133,440.00 - 292,800.00 per year
Full Time

Skills

DevOps
Firmware
CPU
Adobe AIR
Energy
Workflow
Productivity
Computer Science
Information Systems
Electrical Engineering
Management
Jenkins
GitHub
Continuous Integration
Continuous Delivery
Configuration Management
Puppet
Ansible
Progress Chef
Linux
Scripting Language
Python
Perl
Bash
Java
Groovy
PPO
Payroll
Health Care
FSA
Finance
Apache Flex
Legal
Insurance

Job Details

Our Firmware CI/CD Infrastructure supports thousands of vehicle, energy, connected services, and autopilot developers running builds on more than 250,000 cpu cores, including every customer released vehicle software builds. You'll be joining a small team located at the center of the vehicle software organization called Engineering Productivity, Build, and Internal Infrastructure. This unique position exposes us to a wide array of interesting technical challenges and enables us to be pioneers in large scale distributed builds. You will work on core CI/CD Platforms and their underlying infrastructure, including Jenkins, Argo, K8s, and Bare Metal Management.
This role directly impacts real-world Tesla customers by enhancing the speed and reliability of Over-the-Air updates, involves making decisions on the products delivered to customers, and plays a part in accelerating the world's transition to sustainable energy.

Responsibilities
  • Design, manage, and support CI/CD Platforms including Jenkins, Github Actions, ArgoCD and Argo Workflows
  • Implement custom modifications and plugins for Jenkins
  • Develop and manage CI/CD Pipelines for core Vehicle Software Workflows using best practices
  • Standardize CI/CD pipelines across all vehicle software teams
  • Improve developer productivity & reduce pipeline builds latency

Requirements
  • Degree in Computer Science, Information Systems, Electrical Engineering or the equivalent in experience
  • 2+ years experience managing Jenkins, GitHub Actions, and ArgoCD
  • Experience with large scale CI/CD systems
  • Experience with Distributed compute systems (k8s)
  • Experience with Configuration Management systems such as puppet, ansible, chef, etc.
  • Strong Linux Knowledge
  • Excellent knowledge of at least one scripting language (python, perl, bash, etc.)
  • Strong Java & Groovy Experience as a bonus

Compensation and Benefits
Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
  • Aetna PPO and HSA plans > 2 medical 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 Account) HSA Contribution when enrolled in the High Deductible Aetna 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
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary 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

      $133,440 - $292,800/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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.