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Tesla
Tesla

Accelerating the world's transition to sustainable energy.

Software Engineer, Full Stack, Tesla Cloud Platform

职能全栈
级别中级
地点Pune, Maharashtra, India
方式现场办公
类型全职
发布今天
立即申请

必备技能

TypeScript

React

Docker

Kubernetes

Go

Next.js

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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    关于Tesla

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    员工数

    Ciudad De Panamá

    总部位置

    $800B

    企业估值

    评价

    10条评价

    3.8

    10条评价

    工作生活平衡

    2.3

    薪酬

    4.0

    企业文化

    3.2

    职业发展

    4.1

    管理层

    2.8

    65%

    推荐率

    优点

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Good compensation and benefits

    缺点

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    薪资范围

    1,403个数据点

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2份报告

    $94,875

    年薪总额

    基本工资

    $82,500

    股票

    -

    奖金

    -

    $92,000

    $97,750

    面试评价

    4条评价

    难度

    3.5

    / 5

    时长

    14-28周

    体验

    正面 0%

    中性 75%

    负面 25%

    面试流程

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    常见问题

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts