Devops Engineer with AI

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.