DevOps Engineer for Engineering CAx Appl...

BMW TechWorks India Private Limited; Pune District; On-site; INR 1,100,000 - 1,800,000; Full time

Benefits offered by this job

None

Job summary

BMW TechWorks India Private Limited is seeking a DevOps Engineer for Engineering CAx Applications in Pune. You will join the Digital Product Engineering — Engineering Intelligence unit, working with an agile team to develop and operate cloud-based engineering applications.

The role requires strong DevOps, coding, and collaboration capabilities. You will drive automated deployments, CI/CD pipelines, and scalable solutions for CAD/3D data workflows, while advancing architecture and process

Qualifications

• Proven experience in software engineering and DevOps practices.
• Experience in agile teams and collaboration across disciplines (developers, engineers, operations).
• Good communication skills in English; ability to participate in technical discussions and documentation.

Responsibilities

• Join Digital Product Engineering — Engineering Intelligence unit as a DevOps Engineer for Engineering Applications, contributing to design and implementation.
• Enable automated deployments and CI/CD pipelines, and continuously improve operational processes.

Skills

Python

Java

REST API design

Databases/SQL

Docker

Git & CI/CD

Cloud basics

Code reviews

Software architecture

Education

B.Tech/B.E

Job description

DevOps Engineer for Engineering CAx Appl...

BTWI/DEFECA/1895283

• Digital Product Engineering


• Pune

Posted On 15 Oct 2026

End Date 30 Nov 2026

Required Experience 3 - 5 years

Skills

Skill

B.Tech/B.E

Job Description

Role

DevOps Engineer for Engineering CAx Applications

Location

Pune

Experience:

Min 3 years

Number of openings

2

What awaits you/ Job Profile

You will join the Digital Product Engineering — Engineering Intelligence unit as a DevOps Engineer for Engineering Applications, working in an agile development team to develop and operate modern cloud-based engineering applications. In this role you will span the full application lifecycle: participate in design and implementation, enable automated deployments and CI/CD pipelines, and continuously improve operational processes. Your work will support engineering processes that handle CAD, 3D and product engineering data—often within environments around CATIA and you will help deliver scalable, reliable solutions for complex engineering workflows. You will collaborate with cross-functional teammates, contribute to technical discussions on architecture and code quality, and take ownership of tasks to drive solutions independently. This position offers the chance to make a direct impact on software delivery and operational excellence while working with modern development tools, cloud platforms and DevOps best practices.

What should you bring along

• roven experience in software engineering and DevOps practices, ideally within domains that process engineering, CAD or 3D data.


• Strong problem-solving skills and a hands-on attitude; comfortable taking ownership and driving solutions.


• Experience working in agile teams and collaborating across disciplines (developers, engineers, operations).


• Good communication skills in English; ability to participate in technical discussions and documentation.


• A mindset focused on automation, quality and continuous improvement.

Must have technical skill

• Python


• Java


• REST API design and implementation


• Databases / SQL


• Docker containerization


• Git and CI/CD pipelines (build, test, deploy automation)


• Familiarity with cloud platforms (AWS and/or Azure basics)


• Experience with code reviews and software architecture practices

Good to have Technical skills

• Angular + TypeScript (front-end experience)


• Experience with CAD systems basics and CATIA/3DEXPERIENCE interfacing


• Knowledge of engineering data formats and 3D workflows


• Experience with usage of AI coding assistants (e.g., GitHub Copilot) in development workflows


• Advanced cloud-native practices (infrastructure as code, Kubernetes, observability)


• Additional scripting or automation tooling