Azure DevOps Engineer

3 weeks ago


Bengaluru, Karnataka, India TeamWare Solutions Full time

Looking only Bangalore and Hyderabad Candidates

Exp : 7+Years Mandatory

NP : Immediate Only

Job Description :

- Lead and manage Azure DevOps initiatives, ensuring seamless collaboration between development, operations, and security teams.

- Design, implement, and manage CI/CD pipelines using Azure DevOps

- Implement Infrastructure as Code (IaC) using tools like Terraform, ARM Templates, and Bicep.

- Manage cloud-based infrastructure and ensure high availability, scalability, and security.

- Establish governance policies and security compliance within Azure DevOps practices.

- Drive DevSecOps practices by integrating security tools into the CI/CD pipeline.

- Collaborate with cross-functional teams to identify automation and efficiency improvements.

- Troubleshoot and resolve issues related to build, deployment, and infrastructure.

- Implement and manage version control systems, primarily using Git.

- Provide mentorship and guidance to junior DevOps engineers and ensure best practices are followed.

- Maintain documentation, including design, process flows, and operational runbooks.

Tools & Technologies :

- Proficient with Azure DevOps (Repos, Pipelines, Artifacts, Boards, Test Plans)

- Infrastructure as Code (IaC) : Terraform, ARM Templates, Bicep

- Scripting & Automation : PowerShell, Python, Bash, YAML

- Containerization & Orchestration : Docker, Kubernetes (AKS), Helm

- CI/CD & Build Tools : Jenkins, GitHub Actions, Azure Devops

- Configuration Management : Ansible, Chef, Puppet

- Version Control : Git, GitHub, GitLab, Bitbucket

- Conduct thorough source-target assessments, including data volume, schema complexity, compatibility, and transformation requirements (e.g., SQL Server to Postgres).

- Define and validate Low-Level Designs (LLDs) encompassing network topology, storage, replication, access controls, and disaster recovery configurations.

- Orchestrate wave-based migration plans, implement data validation, rollback mechanisms, and cutover strategies aligned to business SLAs.

(ref:hirist.tech)
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