CGI Hiring DevOps with MLOPs in India | Latest IT Jobs 2026
CGI Recruitment Drive is now open for DevOps with MLOPs roles, and this is a strong opportunity for candidates looking for Latest IT Jobs 2026 in a cloud and automation-focused environment. The opening is based in Pune, which remains one of India’s top technology hubs for DevOps, cloud engineering, and platform roles.
If you are searching for CGI Careers with hands-on work in Azure, Kubernetes, Terraform, CI/CD, and MLOps practices, this job can be a solid fit. The company is looking for graduates, engineers, and postgraduates with fresher to experienced profiles, depending on skill match.
In this article, you will find the key job details, expected salary for DevOps with MLOPs Salary in India, skills required, interview preparation tips, and the direct application link. Read carefully and apply only if your profile matches the role requirements.
About CGI
CGI is a global IT and business consulting company with a strong presence in India. It works across software development, cloud services, digital transformation, infrastructure engineering, and enterprise technology consulting.
The company is well known for offering stable career growth, client-facing projects, and large-scale technology exposure. In India, CGI hires for roles across Pune, Bangalore, Hyderabad, Chennai, and other major IT locations.
CGI is also recognized for its employee-first culture. The company promotes ownership, teamwork, respect, and belonging, which makes it attractive for professionals who want long-term growth in the IT industry.
Job Overview
- Role: DevOps with MLOPs
- Company: CGI
- Location: Pune, India
- Experience: Fresher to Experienced
- Employment Type: Full Time
- Work Type: Onsite
- Requisition ID: J0526-1245
- Salary: As per company standards
Key Responsibilities
- Work on provisioning, configuring, and managing resources in Microsoft Azure.
- Use AWS knowledge as an added advantage where required.
- Implement and manage GitLab CI/CD pipelines for continuous integration and delivery.
- Write and maintain Infrastructure as Code scripts using Terraform.
- Handle shell scripting and Python or other scripting languages for automation tasks.
- Work with Docker and Kubernetes for containerization and orchestration.
- Support Azure Kubernetes Service infrastructure and cloud operations.
- Maintain cloud security practices and support cost optimization initiatives.
- Work on machine learning architecture support and MLOps practices.
- Monitor data/model drift and contribute to continuous improvement in deployment pipelines.
Required Skills and Qualifications
- Graduate, Engineering, or Post Graduate qualification.
- Strong knowledge of DevOps, Git, Kubernetes, and Terraform.
- Good understanding of Azure cloud concepts and services.
- Hands-on experience with Docker and Kubernetes.
- Experience with GitLab CI/CD or similar pipeline tools.
- Knowledge of shell scripting and Python scripting.
- Understanding of MLOps, machine learning workflow, and model drift.
- Experience with monitoring tools and troubleshooting.
- Familiarity with Agile, Scrum, or Kanban methodologies.
- Good understanding of microservices architecture and REST interfaces.
- Added advantage: AWS, Azure DevOps, and AKS experience.
Expected Salary for DevOps with MLOPs in India
The salary for DevOps with MLOPs roles in India usually depends on your cloud depth, automation skills, and real project experience. Since this role combines DevOps, cloud, and machine learning operations, the pay range is often better than a basic DevOps profile.
For Pune, Bangalore, Hyderabad, Mumbai, and NCR, salary levels can vary based on company size and candidate profile. In many companies, freshers with strong project knowledge may get entry-level packages, while experienced candidates with Azure, Terraform, Kubernetes, and MLOps exposure can command significantly higher compensation.
For this opening, the posting mentions salary as per company standards, so the final offer will likely depend on interview performance and current market fit. In general, Bangalore and Hyderabad may offer slightly higher pay for niche cloud roles, while Pune and NCR also remain strong markets for DevOps and platform engineering jobs.
Skills That Can Increase Your Salary
- Microsoft Azure Certification – Strong Azure knowledge is highly valuable for this role and can improve your market value.
- Terraform Certification or Projects – Infrastructure as Code skills are in high demand for modern cloud teams.
- Kubernetes Expertise – Hands-on container orchestration knowledge can help you qualify for higher-paying platform roles.
- GitLab CI/CD Experience – Pipeline automation skills are important for DevOps productivity and release engineering.
- MLOps Project Experience – Real experience in model deployment, drift monitoring, and ML pipelines adds strong value.
- Python and Shell Scripting – Automation scripting skills make you more effective and increase your chances of selection.
Why Join CGI?
CGI offers a strong brand name in the IT services and consulting space. Working here can improve your resume value and give you exposure to enterprise-level systems and delivery practices.
The company’s culture is built around ownership and collaboration. That is useful for professionals who want to contribute meaningfully rather than just follow routine tasks.
This role is especially attractive if you want to work on modern cloud and automation stacks like Azure, Terraform, Kubernetes, CI/CD, and MLOps. It can help you build a future-ready DevOps career.
CGI also provides opportunities to learn from global capabilities and work with cross-functional teams. That kind of exposure is valuable for long-term career growth in the Indian IT industry.
How to Prepare for the DevOps with MLOPs Interview
Start by revising Azure services, AKS basics, Terraform workflows, Docker commands, and Kubernetes concepts. Be ready to explain how you would build, deploy, monitor, and secure a cloud application.
Prepare for questions on CI/CD design, branching strategy, Git workflows, shell scripting, and troubleshooting pipeline failures. Since this is a hybrid DevOps and MLOps role, you should also understand model deployment, data drift, and monitoring basics.
For technical rounds, expect scenario-based questions such as how to reduce deployment failures, how to manage secrets, or how to optimise cloud cost. Interviewers may also ask about microservices, REST APIs, and real-time production support.
For HR rounds, prepare a short and clear introduction, your project experience, and why you want to join CGI Careers. Also research the company, practice mock interviews, and be ready to explain your recent achievements confidently.
Selection Process
The selection process for this type of role usually includes shortlisting, technical interview rounds, and HR discussion. In some cases, there may be an additional discussion on cloud architecture, scripting, or project experience.
Candidates with strong practical knowledge in Azure, DevOps automation, and MLOps workflows may move faster through the process. Keep your resume updated and focus on showcasing measurable project outcomes.
How to Apply
Apply Here: Apply on the Official Website
Review the job description carefully before applying. Make sure your resume highlights Azure, Terraform, Kubernetes, CI/CD, scripting, and MLOps-related work.
If your profile matches the requirements, submit your application through the official link and keep track of communication from the hiring team.
Frequently Asked Questions
1. Who can apply for this CGI DevOps with MLOPs role?
Candidates with a graduate, engineering, or post-graduate background can apply if they match the technical requirements. Both freshers and experienced professionals are considered.
2. What is the salary for DevOps with MLOPs at CGI?
The job post mentions salary as per company standards. In India, the final package depends on experience, project exposure, and technical strength in cloud and automation tools.
3. Is this a work-from-home or onsite job?
This opening is for an onsite role in Pune. Candidates should be prepared to work from the office as mentioned in the job details.
4. What are the main skills required?
Key skills include Azure, GitLab CI/CD, Terraform, Docker, Kubernetes, shell scripting, Python, and MLOps fundamentals. Experience with monitoring and cloud security is also useful.
5. What kind of interview process can I expect?
You can expect resume screening, technical interviews, and an HR discussion. Some candidates may also face practical questions on DevOps, cloud setup, and deployment pipelines.
6. How soon can selected candidates join?
The joining timeline is not mentioned in the posting. It usually depends on the company’s hiring process, offer acceptance, and notice period details.
7. Is there any bond for this role?
The bond or service agreement is not mentioned in the job description. Please confirm this directly during the interview or offer discussion.
8. What is the growth path after joining?
This role can lead to careers in DevOps engineering, cloud engineering, platform engineering, and MLOps architecture. Strong performance may open paths to senior technical and lead roles.
Disclaimer
This article is for informational purposes only. Job details are sourced from the official job posting. Please verify all details on the official company website before applying. We are not responsible for any changes in job requirements or application process.
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Disclaimer: Job shared for informational purposes. Verify on company website before applying.
