DevOps Engineer - IT Infrastructure Automation (3-5 yrs)

Key Responsibilities :

- Infrastructure Automation : Use Terraform and Ansible for infrastructure provisioning and configuration management to automate repetitive tasks and optimize workflows.

- CI/CD Pipelines : Design, build, and maintain robust CI/CD pipelines using Azure DevOps to streamline software development and deployment processes.

- Cloud Infrastructure Management : Manage and optimize Google Cloud Platform (GCP) resources such as Compute Engine, BigQuery, Cloud Composer, Data Fusion, and Dataflow.

- Containerization : Work with containerization technologies like Docker and Kubernetes to deploy and manage applications and services in a cloud-native environment.

- Monitoring & Logging : Implement monitoring, logging, and alerting solutions to ensure the health, performance, and security of the cloud infrastructure.

- Collaboration : Collaborate with cross-functional teams including developers, system engineers, and data scientists to support the development and deployment of applications.

- Automation : Automate infrastructure provisioning, configuration, and management tasks to improve efficiency and scalability of systems.

- Troubleshooting : Provide timely issue resolution for cloud-related infrastructure problems and collaborate with teams to resolve incidents effectively.

- Documentation & Best Practices : Create and maintain documentation for infrastructure design, automation processes, and best practices.

Key Skills & Experience :

- Cloud Platform Expertise : Proven experience with Google Cloud Platform (GCP), including hands-on experience with services like Compute Engine, BigQuery, Cloud Composer, Data Fusion, Dataflow, and BigQuery datasets.

- Infrastructure Automation Tools : Strong experience using Terraform and Ansible for infrastructure provisioning, automation, and configuration management.

- CI/CD Pipeline Management : Proficiency in building and maintaining CI/CD pipelines using Azure DevOps to automate deployment and integration processes.

- Scripting Skills : Solid scripting experience in Python and Bash to automate tasks and enhance system performance.

- Containerization & Orchestration : Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes for efficient app deployment and management.

- Monitoring & Logging : Experience with monitoring tools and logging frameworks to ensure optimal performance and uptime of systems.

- Collaboration & Communication : Strong communication skills, with the ability to work effectively with different teams, manage expectations, and collaborate on technical solutions.

- Problem-Solving : Excellent troubleshooting skills and the ability to address complex infrastructure issues quickly and effectively