Azure Devops Engineer with MLOps

7 - 9 Years
1 Opening
Kochi

• Experience with DevOps in Azure cloud.

• Good understanding of Cloud Infrastructure services and their limitations.

• Experience in configuring & monitoring different attributes and handling scale-up and scale-down scenarios for the application in a cloud environment.

• Manage and scale production-grade Kubernetes clusters (AKS/OpenShift).

• Develop, and implement containerization strategy for applications leveraging Docker & Kubernetes and serverless in Azure.

• Implement declarative, automated application deployments on GitOps with ArgoCD

• Maintain legacy and modern CI\CD pipelines using Bamboo and Tekton

• Good hands on experience with IAC Tools- Terraform

• Good understanding of Microservices architecture and communication between APIs in a containerized environment.

• Good understanding of webhooks / build triggers for CI pipelines.

• Proactively identify and remediate Vulnerabilities within the Azure ecosystem.

• Integrate automated security scanning (SAST/DAST) and container image signing into the build process

• Provide best practices around provisioning production and non-production environments on the cloud to optimize the usage.

• Oversee secure credential handling (e.g., HashiCorp Vault or Azure Key Vault).

• Experience with network technologies and with system, security, and network monitoring tools

• Have a strong understanding of application architecture, common failure modes, and the development process.

• Have a strong understanding of 24x7 application operations, including Incident Management, Change Management, and Capacity Management

MLOps & LLMOps Requirement:

Model Deployment: Build infrastructure to support LLM serving, fine-tuning, and monitoring.

Pipeline Automation: Use MLOps principles to automate data versioning and model training workflows.

Resource Optimization: Manage GPU-heavy workloads and optimize compute costs within Azure.

Azure, CI/CD, Kubernetes, MLOps