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 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 & Qualificat