DevOps Engineer

Shiksha Saarathi; Nagpur District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Fireblaze AI School in India is seeking a DevOps Engineer to join our growing engineering team. You will design and manage scalable cloud infrastructure, build CI/CD pipelines, and automate deployment workflows to support data and AI education initiatives.

The ideal candidate has hands-on experience with Docker, AWS, Linux, scripting, and monitoring tools, and can collaborate with developers to improve reliability and release performance.

Qualifications

• Hands-on experience with cloud platforms and CI/CD.
• Experience with Docker, AWS, Linux, and scripting.
• Strong debugging and collaboration skills.

Responsibilities

• Build, manage, and maintain CI/CD pipelines for automated deployment workflows.
• Deploy and manage applications on cloud platforms such as AWS.
• Configure and maintain Linux servers and cloud infrastructure.
• Work with containerization and orchestration tools for scalable deployments.
• Monitor application performance, uptime, and infrastructure health.
• Implement security best practices across infrastructure and deployment pipelines.
• Automate repetitive operational tasks using scripting tools.
• Collaborate with development teams for release management and infrastructure optimization.
• Troubleshoot production issues and ensure high availability of services.
• Maintain backup, recovery, and disaster management strategies.

Skills

DevOps principles

Deployment strategies

Troubleshooting

Communication

Independent work

Debugging

Security concepts

Education

Bachelor’s degree in Computer Science/IT or related field

Tools

Docker

AWS EC2

AWS S3

AWS IAM

AWS CloudWatch

Nginx

Linux Server Administration

Git & GitHub

GitHub Actions

Jenkins

GitLab CI/CD

Shell/Bash scripting

Terraform

Kubernetes

Reverse proxy & SSL

Monitoring/logging tools

Job description

About the Role We are looking for a passionate and skilled DevOps Engineer to join our growing engineering team. The ideal candidate should have hands‑on experience in cloud infrastructure, CI/CD pipelines, containerization, server management, and deployment automation. You will work closely with developers to streamline development workflows, improve system reliability, and ensure scalable deployments.

Key Responsibilities

• Build, manage, and maintain CI/CD pipelines for automated deployment workflows.
• Deploy and manage applications on cloud platforms such as AWS.
• Configure and maintain Linux servers and cloud infrastructure.
• Work with containerization and orchestration tools for scalable deployments.
• Monitor application performance, uptime, and infrastructure health.
• Implement security best practices across infrastructure and deployment pipelines.
• Automate repetitive operational tasks using scripting tools.
• Collaborate with development teams for release management and infrastructure optimization.
• Troubleshoot production issues and ensure high availability of services.
• Maintain backup, recovery, and disaster management strategies.

Requirements

Required Skills

• Strong understanding of DevOps principles and deployment strategies.
• Hands-on experience with:
  • Docker
  • AWS EC2
  • AWS S3
  • AWS IAM
  • AWS CloudWatch
  • Nginx
  • Linux Server Administration
  • Git & GitHub
  • CI/CD tools (GitHub Actions, Jenkins, GitLab CI/CD)
  • Shell/Bash scripting
  • Knowledge of reverse proxy setup and SSL configuration.
  • Experience with monitoring and logging tools.
  • Basic understanding of networking, DNS, and security concepts.
  • Familiarity with Infrastructure as Code tools like Terraform is a plus.
  • Understanding of Kubernetes is an added advantage.
• Bachelor’s degree in Computer Science, IT, or related field.
• Ability to work independently and solve infrastructure-related challenges.
• Good communication and collaboration skills.
• Strong debugging and troubleshooting abilities.

Preferred Qualifications

• Bachelor’s degree in Computer Science, IT, or related field.
• Ability to work independently and solve infrastructure-related challenges.
• Good communication and collaboration skills.
• Strong debugging and troubleshooting abilities.

Nice to Have

• Experience with Kubernetes or Docker Swarm.
• Knowledge of Firebase/Vercel/Render deployment workflows.
• Experience handling scalable production applications.
• Exposure to monitoring tools like Prometheus and Grafana.

What We Offer

• Opportunity to work on real-world scalable projects.
• Collaborative and growth-focused work environment.
• Learning and career development opportunities.
• Competitive salary based on skills and experience.

About the Company

Education

At Fireblaze AI School, we are not just a training institute—we are an ecosystem built around Data, AI, and the Future of Work.

Our mission is to empower talent, transform industries, and accelerate innovation by bridging the gap between education, industry, and research.

What makes Fireblaze unique?

Next-Gen Education – Cutting-edge programs in AI, Data Science, Cloud, Full Stack, and more, designed for real-world careers.

Industry Partnerships – Collaborations with leading companies to provide hands‑on learning, internships, and placements.

Franchise & Expansion Model – Creating opportunities for educational entrepreneurs to join the Fireblaze network and scale AI education.

Research & Innovation Hub – Nurturing talent to solve real-world problems through AI‑driven projects and applied research.

Career & Placement Ecosystem – A strong focus on employability, career maturity, and job‑readiness through structured mentorship and career services.

Vision: To make Fireblaze the #1 global ecosystem for Data & AI talent, shaping leaders, innovators, and problem‑solvers.

Whether you’re a student, professional, institute, or industry partner—Fireblaze is your gateway to the AI‑powered future.