DevOps Track Associate
At a glance
Junior DevOps & Release role at Fa Etqo Saasfaprod1. India.
Pay not stated DevOps & Release salary
devopsroles summary, based on the employer's posting.
What you'll do
- Build and maintain Azure DevOps CI/CD pipelines, including pipeline definitions written in YAML or JSON
- Package applications with Docker and ACR, then deploy them to Kubernetes or AKS
- Use Terraform or ARM templates to automate infrastructure setup and deployments
- Set up monitoring and alerts for Azure services, and integrate build, deployment, testing and security tools into pipelines
- Work with infrastructure teams on Azure resources, data-service troubleshooting and data pipelines
What you bring
- Hands-on skill building Azure DevOps pipelines with YAML or JSON
- Experience with Git-based version control and tools such as GitHub, Bitbucket or Azure Repos
- Practical knowledge of Docker, Kubernetes or AKS, and Terraform or ARM templates
- Experience implementing Azure data pipelines with services such as Data Factory, Data Lake or Databricks
Who this fits
This role suits someone seeking a junior DevOps track focused on Azure delivery and data pipelines. You’ll work across infrastructure, CI/CD, monitoring and Azure data services.
From the employer
AZURE Devops JD
· Design, implement, and manage CI/CD pipelines using Azure DevOps.
· Expert in writing YAML/JSON based CI/CD pipeline using tools like Azure DevOps.
· Proficient in version control systems like Git, GitHub, Bitbucket, Azure Repos.
· Containerize applications using Docker, ACR and deploy to Kubernetes,AKS.
· Automate infrastructure provisioning and deployment processes using Terraform/ARM templates.
· Implement monitoring and alerting solutions for Azure services ensuring high availability and performance.
· Expert in integrating multiple CI, CD , CT and security tools(Artifactory, SonarQube, Snyk) in the Pipeline to perform build and deployment in Azure environment.
· Collaborate with infrastructure teams to provision and manage Azure resources, troubleshoot Azure data services, and optimize data pipelines.
· Hands-on experiences to implement data pipeline through Azure Devops for Azure data services such as Azure Data Factory, Azure Data Lake, and Azure Databricks