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Senior Software Engineer – Golang (m/w/d) - Gigafactory Berlin-Brandenburg

Tesla

Senior Software Engineer – Golang (m/w/d) - Gigafactory Berlin-Brandenburg

Tesla

Grünheide (mark), Brandenburg

·

On-site

·

Full-time

·

Today

What To Expect
Tesla is accelerating the world's transition to sustainable energy. Revolutionary strategies and products were developed within a few years and successfully launched on a large scale. This is only possible through extraordinary speed, innovation, and efficiency.

Gigafactory Berlin forms the perfect basis for rolling out Tesla's incredible success story in Europe. The most important pillar for this are our employees. Their passion, motivation and engagement ensure that we achieve our goals. We are looking for you to continue and expand this success story together.

The Role

We are currently looking for highly motivated Golang developers (all seniorities) to join the Factory Software Engineering team.

Our engineers are hands-on and encouraged to own their own projects, contribute to innovative ideas, and make an impact on the way our company operates. The mission of our team is to streamline factory operations by building world-class scalable software systems, decrease business costs, and solve engineering challenges from both development and support perspective.

What You'll Do

  • Participate in requirements gathering, technical specification, and design of complex software systems
  • Define an architecture for fault-tolerant, distributed, and adaptive applications
  • Implement, deploy, and maintain enterprise-scale manufacturing execution software
  • Build tools, test-automation, and documentation
  • Be flexible, responsive, and adaptive to ever changing business requirements


  • What You'll Bring

  • Good understanding of software development fundamentals including software design, algorithms, data structures, modularity, and code maintainability
  • At least 3 years of Hands-on software development experience using Golang
  • Efficient knowledge of SQL and relational databases (MySQL, PostgreSQL, etc.)
  • Full professional proficiency in English; German is a plus
  • Experience with Kubernetes is a big plus
  • Experience with Typescript and React/Angular is a plus


  • 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 a competitive salary and Tesla shares or bonuses. Typical benefits that we provide are 30 vacation days, an occupational pension, employee life and disability insurances, free EV charging, product discounts and various transportation benefits.

    , Tesla

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    About Tesla

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    Employees

    Ciudad De Panamá

    Headquarters

    $800B

    Valuation

    Reviews

    3.1

    5 reviews

    Work Life Balance

    1.5

    Compensation

    1.2

    Culture

    1.3

    Career

    1.8

    Management

    1.1

    15%

    Recommend to a Friend

    Pros

    Strong financial performance

    Revenue growth

    Company achieving targets

    Cons

    Poor compensation and raises below inflation

    Union-busting and anti-labor practices

    Unpaid work demands and wage theft

    Salary Ranges

    3,570 data points

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2 reports

    $94,875

    total / year

    Base

    $82,500

    Stock

    -

    Bonus

    -

    $92,000

    $97,750

    Interview Experience

    4 interviews

    Difficulty

    3.5

    / 5

    Duration

    14-28 weeks

    Experience

    Positive 0%

    Neutral 75%

    Negative 25%

    Interview Process

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    Common Questions

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts