Devops Engineer with AI
- Source: Naukri
- Optimum Solutions
- Hybrid
- Bengaluru
- Full-Time
- Mid level
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.
Skills
- Java
- Python
- NodeJS
- argo
- argo-cd
- helm
- kustomize
- Terraform
- Ansible
- Docker
- Kubernetes
- amazon-web-services
- microsoft-azure
- Github
- gitHub-copilot
- Cursor
- bedrock
- azure-databricks
- databricks
