Devops Engineer with AI

Optimum Solutions; Pune District, Chennai District, Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Optimum Solutions in Pune, India, is seeking a DevOps professional to design, implement, and optimize CI/CD pipelines for Java, Python, Node.js, and mobile apps. The role emphasizes automation of build, deploy, release, and environment provisioning.

You will provision infrastructure with Terraform and Ansible, manage Docker, Kubernetes, and KEDA workloads on AWS and Azure, and advance IaC and cloud governance.

Responsibilities

• Design, implement, and optimize CI/CD pipelines for Java, Python, Node.js, and mobile applications.
• Automate build, deployment, release, and environment provisioning processes.
• Implement GitOps practices using Argo CD, Helm, and Kustomize.
• Support production deployments, release management, and hypercare activities.
• Provision and manage infrastructure using Terraform and Ansible.
• Deploy and manage containerized workloads using Docker, Kubernetes, and KEDA.
• Work with AWS and Azure cloud platforms to build scalable, secure, and resilient environments.
• Implement Infrastructure as Code (IaC) and cloud governance best practices.
• Integrate AI-assisted engineering tools such as GitHub Copilot, Claude, and Cursor into development workflows.
• Support deployment of AI/ML applications using Azure AI Services, Amazon Bedrock, and Databricks.
• Identify automation opportunities using Generative AI across DevOps processes.
• Promote responsible AI adoption, governance, and security practices.
• Experience with AI/ML deployment platforms such as Azure AI, Amazon Bedrock, or Databricks.

Job description

Role & responsibilities

DevOps & CI/CD:

• Design, implement, and optimize CI/CD pipelines for Java, Python, Node.js, and mobile applications.
• Automate build, deployment, release, and environment provisioning processes.
• Implement GitOps practices using Argo CD, Helm, and Kustomize.
• Support production deployments, release management, and hypercare activities.

Cloud & Infrastructure Automation:

• Provision and manage infrastructure using Terraform and Ansible.
• Deploy and manage containerized workloads using Docker, Kubernetes, and KEDA.
• Work with AWS and Azure cloud platforms to build scalable, secure, and resilient environments.
• Implement Infrastructure as Code (IaC) and cloud governance best practices.

AI-Driven DevOps:

• Integrate AI-assisted engineering tools such as GitHub Copilot, Claude, and Cursor into development workflows.
• Support deployment of AI/ML applications using Azure AI Services, Amazon Bedrock, and Databricks.
• Identify automation opportunities using Generative AI across DevOps processes.
• Promote responsible AI adoption, governance, and security practices.
• Experience with AI/ML deployment platforms such as Azure AI, Amazon Bedrock, or Databricks.