DevOps Engineer

We're Hiring: DevOps Engineer – Azure

Pune / Trivandrum | Hybrid / On-Site

Are you passionate about building resilient, scalable, and secure DevOps ecosystems in the cloud?

DevOps Engineer – Azure

About the Project

Work on a high-impact transformation initiative, helping to design, refine, and scale DevOps practices across enterprise-grade systems. You'll collaborate with architects and cross-functional teams to deliver secure, stable, and compliant DevOps solutions in a cloud-native setup.

About Claidroid

ServiceNow

India, Finland, and the USA

Role Overview: DevOps Engineer – Azure

As a DevOps Engineer, you will:

✅ Define and optimize DevOps processes, release pipelines, and environment management

✅ Automate infrastructure with Terraform, Ansible, and custom scripting

✅ Build and maintain CI/CD pipelines using GitHub Actions and Azure DevOps

✅ Lead observability implementation via Prometheus, Grafana, Dynatrace

✅ Manage secure, containerized deployments on Azure using Docker and Kubernetes

✅ Collaborate on security, compliance (DORA), and performance optimization

✅ Support DR drills, penetration tests, and production releases

✅ Maintain documentation and actively share knowledge

Who You Are

🔹 5+ years in DevOps roles, with strong Azure cloud experience

🔹 Skilled in Docker, Kubernetes, GitHub Actions, Terraform, Ansible

🔹 Solid understanding of CI/CD, observability, and enterprise networking

🔹 Experienced in release management and production support

🔹 Comfortable with Agile methodologies and tools (JIRA, Confluence)

🔹 Excellent communicator and problem-solver

🔹 Bonus: Knowledge of blockchain infra or regulations like DORA

Position Details

Title:

Experience:

Location:

Start:

Why Join?

Work on global enterprise programs

Shape the DevOps foundation of critical systems

Engage with cutting-edge tools and practices

Collaborate with experts across domains

Grow in a fast-paced, knowledge-sharing environment

Interested?

Apply now and help transform the enterprise cloud with DevOps precision.