Vendosmart Technologies is Hiring Fresher DevOps Engineer Intern

Job Title: DevOps Engineer Intern
Location: Work From Office (Whitefield, Bangalore)
Duration: 4 Months
Type: Internship

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About the Internship

Join our team as a DevOps Engineer Intern and work closely with experienced engineers to gain real-time exposure to modern DevOps tools and production workflows. Ideal for motivated M.Tech/MCA freshers seeking hands-on industry experience in a tech-driven environment.

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Key Responsibilities

• Work under the guidance of DevOps engineers to manage and streamline cloud-based infrastructure.
• Assist in building and maintaining CI/CD pipelines.
• Learn and help integrate Infrastructure as Code (IaC) practices like Terraform or CloudFormation.
• Support continuous deployment, automation, and monitoring processes.
• Participate in setting up essential DevOps tools used in production.
• Troubleshoot deployment and infrastructure issues.
• Take part in documentation and knowledge-sharing sessions.

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What You’ll Learn

• Real-world DevOps workflows and tooling.
• Best practices in automation, deployment, and infrastructure monitoring.
• Hands-on experience with cloud platforms like AWS, Azure, or GCP.
• Cross-functional collaboration in engineering teams.
• Exposure to AI-backed and research-oriented tech development.

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Requirements

• Final-year M.Tech/MCA student in Computer Science, IT, or related field.
• Basic understanding of Linux/Unix systems.
• Familiarity with Git and scripting languages like Bash, Python, or Shell.
• Strong interest in learning DevOps and cloud technologies.
• Strong analytical and teamwork skills.

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Nice to Have

• Previous internships or coursework in DevOps or Linux.
• Basic awareness of Docker, Kubernetes, or cloud monitoring tools.

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Must-Have Skills

• Linux, Docker, AWS/Azure, Networks, OS fundamentals.
• CI/CD pipelines and infrastructure security.
• Proficiency in Python and scripting languages to automate infrastructure.

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Why Join

• Collaborate with seasoned engineers.
• Build robust systems connected to real-world AI applications.
• Gain exposure to production-grade DevOps stacks.
• Possibility of future full-time opportunities based on performance.

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