DevOps Engineer

We are looking for a DevOps Engineer to build, automate, and maintain cloud infrastructure supporting enterprise applications and data integration platforms. The role focuses primarily on Microsoft Azure, with integration into Google Cloud Platform (GCP), ensuring secure, scalable, and reliable deployments across cloud environments.

Quick Facts

• Focus on Microsoft Azure with integration into Google Cloud Platform (GCP)
• Support enterprise applications and data integration platforms
• Build secure, scalable, and reliable cross-cloud deployments

Key Responsibilities

• Design, implement, and maintain cloud infrastructure on Azure using Infrastructure as Code (Terraform).
• Build and optimize CI/CD pipelines using Azure DevOps or GitHub Actions to support automated deployments.
• Manage cross-cloud integrations between Azure and GCP, including Blob Storage, GCS, BigQuery, networking, and secure data transfer.
• Configure and maintain cloud networking, private connectivity, firewalls, and security controls across Azure and GCP environments.
• Implement identity and access management solutions, including Key Vault, OAuth, SSO, and authentication/authorization mechanisms.
• Monitor cloud environments using Azure Monitor and logging solutions to ensure high availability and operational reliability.
• Support containerized applications using Docker and provide operational support for Python-based services.

Requirements

• Strong hands-on experience with Microsoft Azure and Infrastructure as Code (Terraform).
• Experience building and maintaining CI/CD pipelines using Azure DevOps or GitHub Actions.
• Knowledge of Google Cloud Platform (GCP) services, including GCS, BigQuery, and IAM.
• Experience with cross-cloud networking, security, and private connectivity between Azure and GCP.
• Familiarity with Docker, Azure Monitor, cloud observability, and identity management (Key Vault, OAuth, SSO).
• Experience supporting Python applications in cloud environments.

Nice to Have

• Experience working in regulated industries such as pharmaceuticals or healthcare.
• Knowledge of data orchestration tools and DataOps practices (e.g., Apache Airflow).