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JobsTesla

Application Support Engineer

Tesla

Application Support Engineer

Tesla

Pune, Maharashtra

·

On-site

·

Full-time

·

Today

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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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