トレンド企業

Tesla
Tesla

Accelerating the world's transition to sustainable energy.

Site Reliability Engineer, Platform Engineering

職種DevOps
経験ミドル級
勤務地Pune, Maharashtra, India
勤務オンサイト
雇用正社員
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必須スキル

Python

AWS

Kubernetes

Terraform

Linux

Position Description

Tesla's Platform Engineering is looking for a Site Reliability Engineer to join our team. As a member of the team, you will be building and maintaining Kubernetes clusters using infrastructure-as-code tools like Ansible, Terraform, ArgoCD and Helm and helping the application teams to be successful on our platform. The underlying infrastructure is a mix of on-premise VMs, bare metal hosts and public clouds such as AWS located all around the globe, which presents unique challenges and opportunity to work with different types of infrastructure technologies. A successful candidate will be expected to possess expert knowledge in Linux fundamentals, architecture and performance tuning; as well as software development skills to match. Experience running Kubernetes in production will be a strong plus; we prefer Golang or Python for any automation or tools we have to build along the way. We are the team that runs production critical workloads for every aspect of the business at Tesla and sets the standards for other teams, a group of well-rounded generalists that not only solve the hardest problems in the industry but also push other Engineering teams at large to be better. Join us to get a chance to work with some of the best Engineers in the industry for one of the most transformative companies in the history of both automotive and energy industries.


Responsibilities

  • Hands-on with developers to deploy the applications to provide support
  • Building new features to improve the platform in terms of stability & updates 
  • Manage our Kubernetes clusters on-prem and in the cloud to support our growing workloads
  • Participating in the architecture design process and troubleshooting of live applications with the product teams 
  • Participating in a 24x7 on-call rotation
  • Influence architectural decisions with focus on security, scalability and high-performance 
  • Setup and maintain monitoring, metrics & reporting systems for fine-grained observability and actionable alerting 
  • Authoring technical documentation for workflows/processes/best practices


Requirements

  • Experience managing web-scale infrastructure in a production *nix environment
  • Ability to prioritize tasks and work independently with an analytical mind with a bias for action
  • Advanced or expert-level Linux administration and performance tuning skills
  • Bachelor's Degree in Computer Science, Computer Engineering, or equivalent experience or evidence of exceptional ability
  • Advanced experience with configuration management systems such as Ansible, Terraform or Puppet 
  • Demonstrable knowledge of the Linux operating system internals, networking stack, filesystems, resource scheduling and process management 
  • Exposure to AWS, or other cloud infrastructure providers
  • Experience managing container-based workloads, using Kubernetes or other orchestration software in production (ArgoCD, Helm)
  • Proficiency in a high-level language like Python, Go, Ruby and/or Java

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Teslaについて

Tesla

Tesla

Public

A financial leasing taxi company that provides vehicles to customers

140,000+

従業員数

Ciudad De Panamá

本社所在地

$800B

企業価値

レビュー

10件のレビュー

3.8

10件のレビュー

ワークライフバランス

2.3

報酬

4.0

企業文化

3.2

キャリア

4.1

経営陣

2.8

65%

知人への推奨率

良い点

Innovative projects and cutting-edge technology

Great team and supportive colleagues

Good compensation and benefits

改善点

Long hours and poor work-life balance

High pressure and tight deadlines

Management issues and high expectations

給与レンジ

1,403件のデータ

Junior/L3

Mid/L4

Junior/L3 · Associate Analyst

2件のレポート

$94,875

年収総額

基本給

$82,500

ストック

-

ボーナス

-

$92,000

$97,750

面接レビュー

レビュー4件

難易度

3.5

/ 5

期間

14-28週間

体験

ポジティブ 0%

普通 75%

ネガティブ 25%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Take-home Assignment

5

Panel Interview

6

Offer

よくある質問

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Machine Learning Concepts