DevOps Engineer (On-Prem & Cloud) (India)

Job Description DevOps Engineer (On-Prem & Cloud)

Location: Bangalore

Experience: 0 2 Years

Employment Type: Full-time

About the Role

We are seeking a DevOps Engineer to support the design, deployment, automation, and monitoring of scalable applications across on-premises and cloud environments for a generative/agentic AI product. The role involves close collaboration with development, QA, and infrastructure teams to build and maintain reliable CI/CD pipelines, manage containerized workloads, and ensure high availability and system reliability. The project stack includes Python, .NET Core (C#), and React.

Key Responsibilities

• Build, maintain, and optimize CI/CD pipelines using tools such as Jenkins and GitHub Actions.
• Containerize applications using Docker and support deployments on on-prem and hybrid Kubernetes clusters.
• Monitor application and infrastructure health using tools like Prometheus, Grafana, CloudWatch, or similar.
• Assist in infrastructure automation using Terraform and configuration management using Ansible.
• Collaborate with development teams to troubleshoot deployment, performance, and environment-related issues.
• Maintain documentation for deployment procedures, automation scripts, and operational runbooks.
• Follow DevOps best practices related to security, scalability, reliability, and cost optimization.

Required Skills & Qualifications

• Bachelors degree in Computer Science, Information Technology, or a related field.

Strong understanding of CI/CD concepts and DevOps practices.

Solid hands-on experience with Linux administration, troubleshooting, and shell commands.

Valuable knowledge of Git and version control workflows.

Hands-on experience with Docker and container-based deployments.

Working knowledge of networking fundamentals (HTTP/HTTPS, DNS, ports, load balancing).

Strong analytical, troubleshooting, and problem-solving skills.

Good communication and collaboration skills.

Good to Have

• Exposure to Kubernetes concepts.
• Basic Understanding of Python, .NET Core (C#), and React
• Good knowledge of Infrastructure as Code (Terraform or CloudFormation).
• Familiarity with Ansible or other configuration management tools.
• Scripting knowledge in Bash, Python, or Groovy.
• Exposure to monitoring, logging, or alerting tools

Why Join Us

Generative AI Deployment Exposure

Work on deploying, scaling, and operating Generative and Agentic AI workloads, including model-serving APIs, inference services, and backend pipelines. Gain hands-on experience optimizing performance, reliability, and resource utilization in production environments.

Hands-on Production Experience

Build real-world expertise by working directly with DevOps tooling, cloud infrastructure, container platforms, and live production systemsnot just proofs of concept.

End-to-End DevOps Ownership

Be involved across the complete DevOps lifecycle: source control, CI/CD pipelines, containerization, Kubernetes deployments (on-prem and cloud), monitoring, and incident response, with clear ownership and accountability.

Collaborative Engineering Culture

Work in an Agile, engineering-first environment that encourages collaboration, learning, and shared problem-solving across teams.

Engineering-Driven Teamwork

Partner closely with development, QA, and infrastructure teams in a culture that values system ownership, continuous improvement, and high-quality engineering outcomes.

Compensation: 300,000.00 - 600,000.00 per year

Benefits

• Food provided
• Provident Fund

Work Location: In person