DevOps & MLOps Engineer

Chennai

Actively hiring, first seen by us 1 day ago

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

What you’ll work on

Full posting

Implement DevOps best practices and update their documentation
Support tracking of DevOps maturity to drive continuous improvement
Enhance CI/CD pipelines and cloud-based solutions with development teams
Leverage scalable cloud infrastructure on AWS or Azure
Build internal tools and processes to improve operational efficiency

From the employer’s posting

Implement DevOps best practices to optimize software development and deployment processes. Update the documentation of those best practices

Support the implementation and tracking of DevOps maturity to drive continuous improvement

Collaborate with development teams to enhance the CI/CD pipeline and cloud-based solutions

Leverage scalable Cloud infrastructure using AWS or Azure platforms

Contribute to the development of internal tools and processes to improve operational efficiency

What you’ll bring

All qualifications

Core experience

3-5 years in a DevOps or cloud role
Bachelor's or Master's in computer science, technology, engineering, or mathematics
Hands-on experience with CI/CD tools such as Jenkins and GitHub Actions
Hands-on experience with AWS or Azure
Hands-on experience configuring and migrating DevOps tools

Qualification wording

3-5 years of experience in a DevOps or a Cloud role

Bachelor or Master of Science in Computer Science, Technology, Engineering, or Mathematics

Proficiency in CI/CD tools such as Jenkins, GitHub Actions

Hands-on experience with AWS or Azure Cloud platforms

Hands-on experience in configuring and migrating DevOps tools

Education & alternatives

Qualifications & Requirements: - Bachelor or Master of Science in Computer Science, Technology, Engineering, or Mathematics - 3-5 years of experience in a DevOps or a Cloud role

Apply at GE Vernova

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 2, 20261 day ago
Recorded sightings: 3
Last seen by us: Nov 4, 2026

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

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 6 and day 69.

From 4,284 similar postings that came down. Coming down is not always a hire.

GE Vernova is hiring

21 open jobs

Open jobs by the week we first saw them, last 12 weeks.

ML Engineer hiring is picking up
Takes jobs down quickly

Hiring record

See how this role fits your experience

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Python
AWS
Azure

Where the posting names them

- Certifications in relevant technologies or platforms - Hands-on experience in scripting languages such as Python Additional Information

- Collaborate with development teams to enhance the CI/CD pipeline and cloud-based solutions - Leverage scalable Cloud infrastructure using AWS or Azure platforms - Contribute to the development of internal tools and processes to improve operational efficiency

- Proficiency in CI/CD tools such as Jenkins, GitHub Actions - Hands-on experience with AWS or Azure Cloud platforms - Excellent oral and written communication skills

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About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Job Description Summary

Job Description

The DevOps Cloud Engineer will be responsible for implementing DevOps best practices and optimizing Cloud infrastructure to enhance software development and deployment processes. This role involves supporting the implementation of DevOps best practices and maturity metrics, collaborating across teams to boost software quality and delivery, applying Agile process, and leveraging Cloud infrastructure

Responsibilities:

Implement DevOps best practices to optimize software development and deployment processes. Update the documentation of those best practices
Support the implementation and tracking of DevOps maturity to drive continuous improvement
Collaborate with development teams to enhance the CI/CD pipeline and cloud-based solutions
Leverage scalable Cloud infrastructure using AWS or Azure platforms
Contribute to the development of internal tools and processes to improve operational efficiency
Work closely with cross-functional teams to understand business requirements and translate them into technical solutions
Stay up to date with the latest trends and technologies in DevSecOps and Cloud best practices
Ensure adherence to development methodologies, including Agile & DevSecOps best practices and New Product Introduction (NPI) / OTR processes
Maintain high standards of implementation and documentation
Develop technical competencies by establishing and delivering structured technical training schemes
Foster a collaborative and inclusive team environment. Encourage continuous learning and development within the team

Qualifications & Requirements:

Bachelor or Master of Science in Computer Science, Technology, Engineering, or Mathematics
3-5 years of experience in a DevOps or a Cloud role
Hands-on experience in configuring and migrating DevOps tools
Proficiency in CI/CD tools such as Jenkins, GitHub Actions
Hands-on experience with AWS or Azure Cloud platforms
Excellent oral and written communication skills
Certifications in relevant technologies or platforms
Hands-on experience in scripting languages such as Python

Additional Information

Relocation Assistance Provided: Yes

Source details

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