Azure Devops Engineer

7 days ago

Hyderabad, India Tech Mahindra Full time

Role- Azure Devops

Exp Range- 6+ years

Location- Pan India

Shift Timing- 1PM to 10PM

Notice Period- Immediate to 30 days


Mandatory Skills- Azure DevOps CI/CD pipeline (yaml based pipeline), GitHub Actions, GCP cloud, DOCKER, Kubernetes, TERRAFORM, Bash / power shell script, Automation


The Azure DevOps Engineer will be responsible for automating infrastructure provisioning and configuration management using Terraform and Ansible. The role involves designing, implementing, and maintaining CI/CD pipelines on GCP using Azure DevOps. The ideal candidate will have extensive experience with GCP resources, particularly in data engineering, and possess strong scripting skills in Python and Bash.


Responsibilities:

- Automate infrastructure provisioning and configuration management using Terraform and Ansible.

- Design, implement, and maintain CI/CD pipelines on GCP using Azure DevOps.

- Manage and optimize GCP resources, including Compute Engine, Data Fusion, Dataflow, Cloud Composer, BigQuery, and BigQuery datasets.

- Develop and maintain infrastructure as code (IaC) to ensure scalable and reliable deployment of applications.

- Collaborate with development and operations teams to ensure seamless integration and delivery of software.

- Monitor, troubleshoot, and optimize performance of GCP infrastructure and services.

- Implement best practices for security, reliability, and scalability of cloud infrastructure.

- Create and maintain documentation for infrastructure and operational processes.

- Conduct performance tuning, monitoring, and maintenance of CI/CD pipelines.

- Utilize Python and Bash scripting for automation tasks and process improvements.

**Qualifications:**

- Proven experience as a Azure DevOps Engineer or similar role, with a focus on GCP.

- Strong experience with Terraform and Ansible for infrastructure automation and configuration management.

- Proficient in designing and maintaining CI/CD pipelines using Azure DevOps.

- In-depth knowledge of GCP resources, particularly in data engineering: Compute Engine, Data Fusion, Dataflow, Cloud Composer, BigQuery, and BigQuery datasets.

- Solid scripting skills in Python and Bash.

- Familiarity with containerization technologies such as Docker and Kubernetes.

- Experience with monitoring tools and logging frameworks.

- Excellent problem-solving skills and attention to detail.

- Strong communication and collaboration skills.

**Preferred Qualifications:**

- GCP Professional Cloud DevOps Engineer certification.

- Experience with other CI/CD tools and platforms.

- Familiarity with other programming languages and frameworks.

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