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Tesla
Tesla

Accelerating the world's transition to sustainable energy.

Application Support Engineer

职能DevOps
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

Python

SQL

Kubernetes

Excel

Tesla is seeking a skilled Application Support Engineer to join our IT Application Team. This role is dedicated to providing outstanding support for sales and delivery-related applications, ensuring seamless operations and exceptional satisfaction for both customers and business stakeholders.

Responsibilities

  • Provide production support for Tesla’s sales and delivery applications, including but not limited to Sales Applications, Order-to-Delivery Applications, and Ownership Applications.
  • Support sales and delivery business operations by managing production incidents and basic requests, conducting thorough issue analysis, implementing immediate containment solutions, and recommending long-term resolutions.
  • Serve as the primary point of contact for support requests related to sales and delivery applications, ensuring all requests are logged promptly, courteously, and accurately. Collaborate with business stakeholders and Product Managers (PM) on the design and enhancement of new features and processes.
  • Escalate unresolved issues within the IT department to guarantee timely resolution, maximize system uptime for users, and oversee the full lifecycle of issues with clear communication to ensure high satisfaction for sales teams and customers.
  • Proactively monitor systems, identify, resolve, or mitigate production issues to minimize disruptions to sales operations and customer experience.
  • Develop support tools to automate repetitive requests or issue resolution processes for sales and delivery applications.
  • Collaborate with Development, PM, and Business teams on testing and advanced support activities for sales and delivery systems.

Requirements

Must-Have Qualifications:

  • Bachelor’s degree in Computer Science or equivalent education.
  • 1-5 years of coding experience, with hands-on expertise in developing and maintaining applications.
  • 1 years of AI technology experience
  • At least 1+ years of experience in a support role, with a solid understanding of support processes and Service Level Agreements (SLAs).
  • Strong skills in root cause analysis and problem-solving.
  • Proficiency in SQL for database querying and analysis.
  • Basic knowledge of infrastructure components, including networking, databases, and Kubernetes (K8S).
  • Demonstrated ability to multitask and perform effectively under pressure.
  • Adaptability to excel in a fast-paced, dynamic environment.

Preferred Qualifications

  • Programming skills in Python and/or .NET are a significant advantage.
  • Familiarity with monitoring and logging tools such as Grafana and Splunk.
  • Strong English communication skills, both written and verbal.

This job application may involve an interview with an interviewer outside of Tesla China. If you complete your application, you agree Tesla provides your application information to overseas interviewers in Tesla, Inc. for recruitment purposes. More details and contact information please see here. (here hyperlink: https://app.mokahr.com/social-recruitment/tesla/46129#/)

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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