Senior Staff Software Engineer - (m/w/d) - Gigafactory Berlin-Brandenburg
at Tesla
Grünheide (Mark), Brandenburg, Germany -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 18 Jun, 2024 | Not Specified | 19 Mar, 2024 | N/A | Cloud,Computing,Go,Infrastructure,Virtualization,Web Technologies,Docker,Kubernetes,Containerization | No | No |
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Description:
Tesla participates in the E-Verify Program
What to Expect
Tesla is accelerating the world’s transition to sustainable energy. We continuously develop revolutionary strategies and products within shortest time, and successfully launch them on a large scale. This is only possible through extraordinary speed, innovation, and efficiency.
Gigafactory Berlin-Brandenburg marks a defining moment in Europe for Tesla’s mission of accelerating the world’s transition to sustainable energy. Here we will launch revolutionary products on a massive scale, using extraordinary speed, innovation and efficiency. Our employees will ensure that we achieve our goals, and we welcome you to help us write the next chapter of our success story.
Tesla, given its high profile in the technology and automotive industries, is uniquely positioned to enable site reliability engineers to have a major impact within our industry, company, and across our customer base. As a member of the Tesla Linux Infrastructure team, you will automate away toil and build tools to manage a large distributed system and to make development seamless. This role presents a prime opportunity to ensure that reliability, maintainability, performance, scalability, and security are at the forefront of our teams’ products.
What You’ll Do
- Build advanced tooling and user interface for infrastructure automation and administration to manage private cloud across multiple global distributed data centers
- Diagnose and troubleshoot complex distributed systems handling large volumes of data and develop solutions that have a significant impact at scale
- Be ultimately accountable for the performance, capacity and high availability of the infrastructure
- Identify sources of manual work related to onboarding new projects from inception to CI/CD pipeline and strive to automate as much as possible.
What You’ll Bring
- Proficiency in Go, TCP/IP, Networking Programming
- Experience with web technologies and frameworks (React, Vue)
- Proficient in building highly scalable architectures
- Knowledge of Virtualization or Containerization (VMWare, Kubernetes, Docker, LXD/LXC)
- Understanding of the concepts of Observability and Infrastructure as Code Systems Automation (Ansible/Puppet)
- Familiarity with distributed and cloud computing
What we offer
You will be working in our state-of-the-art Gigafactory, where you’ll solve the world’s most interesting problems with the best and brightest people who share a passion to change the world. Tesla’s compensation package includes competitive salary and Tesla shares or bonuses. Typical benefits that are offered are a pension program, 30 vacation days, flexible work arrangements, corporate benefits, employee insurances, relocation, and commuting support.
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.
Responsibilities:
- Build advanced tooling and user interface for infrastructure automation and administration to manage private cloud across multiple global distributed data centers
- Diagnose and troubleshoot complex distributed systems handling large volumes of data and develop solutions that have a significant impact at scale
- Be ultimately accountable for the performance, capacity and high availability of the infrastructure
- Identify sources of manual work related to onboarding new projects from inception to CI/CD pipeline and strive to automate as much as possible
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
Grünheide (Mark), Germany