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Software Engineer, Full Stack, Tesla Cloud Platform

Tesla

Software Engineer, Full Stack, Tesla Cloud Platform

Tesla

Pune, Maharashtra

·

On-site

·

Full-time

·

Today

The Role
Tesla Cloud Platform (TCP) is Tesla’s internal cloud that powers compute, storage, and networking at global scale across multiple datacenters. As a Full-Stack Software Engineer on the TCP team, you will play a critical role in building the platform that underpins Tesla’s products and services. This includes designing and developing automation systems, APIs, and intuitive user interfaces that enable Tesla engineers to seamlessly provision, manage, and monitor workloads.

This position offers a unique opportunity to shape the future of Tesla’s private cloud, ensuring reliability, scalability, performance, and security are at the core of everything we deliver. You will collaborate closely with Site Reliability Engineers, Infrastructure Engineers, and Product Owners to automate away operational toil and deliver a world-class developer experience.

Responsibilities:

  • Design and implement core services and APIs that power Tesla Cloud Platform, enabling self-service provisioning of compute, storage, networking, and identity.
  • Build intuitive frontends and dashboards (React/Next.js/TypeScript) for customers to manage projects, quotas, and workloads at scale.
  • Develop automation frameworks for lifecycle management of virtual machines, containers, storage volumes, and networking resources.
  • Contribute to the architecture of TCP to ensure it meets strict requirements for performance, scalability, and multi-tenancy across global datacenters.
  • Integrate observability and monitoring features directly into platform services to provide visibility and insight for both customers and operators.
  • Partner with product, networking, and infrastructure teams to extend TCP with new capabilities such as STS credentials, custom images, bucket storage, and vMotion.
  • Continuously improve the developer experience on TCP by reducing friction in onboarding, resource provisioning, and CI/CD integration.


  • Requirements:

  • 4+ years of professional experience in backend development with Go (Golang), including networking and distributed systems programming.
  • Strong experience with web technologies and frameworks such as React, Next.js, and TypeScript for building scalable user interfaces.
  • Hands-on experience with virtualization and containerization platforms such as VMware, Kubernetes, Docker, and/or LXD/LXC.
  • Familiarity with Infrastructure as Code (IaC) and configuration management (e.g., Ansible, Puppet).
  • Solid understanding of observability concepts, monitoring, and troubleshooting distributed systems.
  • Proven ability to design and build highly scalable and reliable architectures.
  • Knowledge of distributed and cloud computing concepts (e.g., networking, load balancing, multi-region deployments).
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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