Hiring | DevOps, AI/ML & Cloud Engineers | Interns & Freshers Welcome | Nagpur

Company

Primine Software Private Limited

Primine Software Private Limited is expanding its technology team and inviting applications from Interns, Freshers, and Experienced Professionals who are passionate about DevOps Engineering, Artificial Intelligence, Machine Learning, and Cloud Computing.

The company focuses on delivering enterprise-grade cloud solutions, AI-driven applications, scalable cloud infrastructure, and automated DevOps pipelines for modern businesses.

This opportunity is ideal for candidates who want to work on real-time projects, cloud deployments, AI/ML systems, and modern DevOps automation technologies.

Primine Software offers a collaborative and innovation-driven environment where engineers gain practical exposure to cloud platforms, infrastructure automation, AI technologies, and production-grade deployment systems.

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Role Details

Company: Primine Software Private Limited
Location: Nagpur
Work Mode: Work From Office

Experience: 0 – 3 Years
Eligibility: Interns, Freshers, and Experienced Candidates

Internship Duration: 3 Months – 6 Months

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Open Roles

Primine Software is hiring for the following technology domains:

DevOps Engineering

Work on CI/CD automation, infrastructure management, container orchestration, and cloud deployment pipelines.

Artificial Intelligence / Machine Learning

Develop and support AI-driven applications, machine learning models, and intelligent automation systems.

Microsoft Azure Cloud

Work with Azure cloud infrastructure, cloud networking, and DevOps pipelines.

Amazon Web Services (AWS)

Build and manage AWS cloud architecture, scalable compute infrastructure, and automated deployments.

Google Cloud Platform (GCP)

Gain exposure to GCP cloud services, cloud networking, and distributed systems infrastructure.

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Key Responsibilities

• Assist in designing and maintaining CI/CD pipelines for automated build, testing, and deployment
• Work with cloud infrastructure platforms such as AWS, Azure, and Google Cloud Platform
• Support containerization and orchestration using Docker and Kubernetes
• Assist with cloud infrastructure automation using Infrastructure as Code tools
• Work on AI/ML model deployment and scalable data processing pipelines
• Monitor cloud infrastructure performance, system health, and application uptime
• Troubleshoot deployment failures, infrastructure issues, and cloud service errors
• Collaborate with development teams to ensure smooth application delivery and release cycles
• Document cloud architecture, DevOps workflows, deployment processes, and automation scripts
• Assist in maintaining secure cloud environments and implementing security best practices

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Technical Skills Preferred

DevOps & Automation

• CI/CD pipeline concepts and automation tools
• Infrastructure automation and DevOps workflows
• Understanding of Git, version control systems, and branching strategies

Cloud Platforms

• Knowledge of Amazon Web Services (AWS)
• Familiarity with Microsoft Azure Cloud
• Exposure to Google Cloud Platform (GCP)

Containerization & Orchestration

• Basic knowledge of Docker containerization
• Understanding of Kubernetes cluster orchestration

AI / Machine Learning

• Interest in Machine Learning models and AI systems
• Basic knowledge of Python for AI/ML development

Operating Systems & Networking

• Basic understanding of Linux system administration
• Knowledge of networking fundamentals such as TCP/IP, DNS, and cloud networking

Cloud Certifications (Preferred)

• Microsoft Azure AZ-900
• Microsoft Azure AZ-104
• AWS Cloud certifications
• DevOps related certifications

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What You Will Learn

• Real-world DevOps automation and CI/CD pipeline development
• Hands-on experience with cloud infrastructure (AWS, Azure, GCP)
• Exposure to AI/ML model deployment in cloud environments
• Experience working with enterprise cloud applications and scalable systems
• Practical understanding of cloud architecture, infrastructure security, and automation

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Benefits

• Hands-on exposure to real-time enterprise projects
• Mentorship from experienced cloud and DevOps professionals
• Opportunity to work on production-level deployments and automation pipelines
• Experience with modern cloud platforms and AI technologies
• Career growth opportunities in DevOps, Cloud Engineering, and AI/ML domains
• Supportive and innovation-driven work culture

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Apply Now

Interested candidates can share their updated resume at:

[email protected]

Build your career in DevOps Engineering, Artificial Intelligence, Machine Learning, and Cloud Computing by working on real-time cloud infrastructure and enterprise automation projects.