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Cloud Engineer (Golang / Python - Data Processing)

Chennai, India

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
Apply at Aptiv

What you’ll work on

Full posting
  • Design, build and test cloud data processing systems, ingest pipelines and ETL workflows

  • Support and optimize production workloads on Kubernetes and AWS

  • Investigate and resolve issues across distributed and legacy systems

  • Improve system reliability, scalability and performance with cross-functional teams

From the employer’s posting
Design, develop, test, and deploy cloud‑based data processing systems, including ingest pipelines and ETL workflows
Support and optimize production workloads running on Kubernetes and AWS
Investigate, troubleshoot, and resolve issues across distributed and legacy systems
Collaborate with cross‑functional engineering teams to improve system reliability, scalability, and performance

What you’ll bring

All qualifications

Core experience

  • 3-7 years of hands-on backend, cloud or platform engineering experience
  • Golang experience (required)
  • Production experience with Kubernetes and AWS
  • Experience building or supporting data processing or ETL pipelines
Qualification wording
3-7 years of hands‑on experience in backend, cloud, or platform engineering roles
Golang exposure is required
Proven experience working with Kubernetes and AWS in production environments
Experience building or supporting data processing / ETL pipelines
Education & alternatives
- Working knowledge of MySQL and/or MongoDB, including schema design and CRUD operations - Bachelor’s degree in Computer Science, Computer Engineering, or a related field Nice to have:

Tools in this posting

  • Go
  • Python
  • AWS
  • Kubernetes
  • MongoDB
  • MySQL
  • S3
Source — Tool mentions in context
YOUR ROLE As a Cloud Engineer (Golang / Python – Data Processing) at Aptiv, you will design, build, and support cloud‑based systems that ingest, process, and analyze large volumes of automotive data. You will ensure reliable data flow from vehicles into modern cloud platforms, enabling scalable data processing, analytics, and insights that power next‑generation mobility solutions. Key responsibilities include:
- Design, develop, test, and deploy cloud‑based data processing systems, including ingest pipelines and ETL workflows - Build and maintain backend services primarily using Golang, with Python used where appropriate - Support and optimize production workloads running on Kubernetes and AWS
- 3-7 years of hands‑on experience in backend, cloud, or platform engineering roles - Strong hands‑on experience with Golang (Python experience is a plus; Golang exposure is required) - Proven experience working with Kubernetes and AWS in production environments
- Build and maintain backend services primarily using Golang, with Python used where appropriate - Support and optimize production workloads running on Kubernetes and AWS - Investigate, troubleshoot, and resolve issues across distributed and legacy systems
- Strong hands‑on experience with Golang (Python experience is a plus; Golang exposure is required) - Proven experience working with Kubernetes and AWS in production environments - Experience building or supporting data processing / ETL pipelines
- Experience with Helm and microservices deployment - AWS S3 file I/O and media or large‑file processing - Experience working with large‑scale datasets or high‑throughput systems
- Experience building or supporting data processing / ETL pipelines - Working knowledge of MySQL and/or MongoDB, including schema design and CRUD operations - Bachelor’s degree in Computer Science, Computer Engineering, or a related field

Posting record

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Open 6 monthsWe first saw this listing 180 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Apr 27, 2026 · 180 days ago
Recorded sightings
243
Last seen by us
Oct 25, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Your next step

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Job description

View original posting ↗

Why join Aptiv?


You'll have the opportunity to work on cutting-edge applications, develop breakthrough technologies, and deliver innovative solutions to some of the world’s leading automotive brands. See your work come to life on the road—helping make mobility safer, greener, and more connected. Ready to shape the future of mobility with us?

YOUR ROLE

As a Cloud Engineer (Golang / Python – Data Processing) at Aptiv, you will design, build, and support cloud‑based systems that ingest, process, and analyze large volumes of automotive data. You will ensure reliable data flow from vehicles into modern cloud platforms, enabling scalable data processing, analytics, and insights that power next‑generation mobility solutions.

Key responsibilities include:

  • Design, develop, test, and deploy cloud‑based data processing systems, including ingest pipelines and ETL workflows
  • Build and maintain backend services primarily using Golang, with Python used where appropriate
  • Support and optimize production workloads running on Kubernetes and AWS
  • Investigate, troubleshoot, and resolve issues across distributed and legacy systems
  • Collaborate with cross‑functional engineering teams to improve system reliability, scalability, and performance

YOUR BACKGROUND

  • 3-7 years of hands‑on experience in backend, cloud, or platform engineering roles
  • Strong hands‑on experience with Golang (Python experience is a plus; Golang exposure is required)
  • Proven experience working with Kubernetes and AWS in production environments
  • Experience building or supporting data processing / ETL pipelines
  • Working knowledge of MySQL and/or MongoDB, including schema design and CRUD operations
  • Bachelor’s degree in Computer Science, Computer Engineering, or a related field

Nice to have:

  • Experience with Helm and microservices deployment
  • AWS S3 file I/O and media or large‑file processing
  • Experience working with large‑scale datasets or high‑throughput systems
  • Exposure to automotive, telemetry, or data‑intensive domain environments

WHY JOIN US?

  • You can grow at Aptiv. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity, or beliefs.
  • You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children—one with Zero fatalities, Zero injuries, Zero accidents.
  • You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competi-tive health insurance package.

YOUR BENEFITS AT APTIV

  • Higher Education Opportunities (UDACITY, UDEMY, COURSERA available for continuous growth and development)
  • Life and accident insurance
  • Sodexo cards for food and beverages
  • Well‑Being Program including regular workshops and networking events
  • Employee Assistance Program (EAP)
  • Access to fitness clubs (T&C apply)
  • Crèche facility for working parents

APPLY TODAY, AND TOGETHER LET’S CHANGE TOMORROW!

Privacy Notice – Active Candidates:
https://www.aptiv.com/privacy-notice-active-candidates

Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristic protected by law.

#LI-SK1

Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates

Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.

Source details

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Location & working pattern

Chennai, India

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