Software Engineer - DevOps
Rockwell Automation
Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.
We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that’s you we would love to have you join us!
Job Description
As a DevOps Engineer, you will play a critical role in designing, implementing, and supporting cloud-native infrastructure and DevOps practices across enterprise applications. You will partner closely with software engineering, platform, and operations teams to deliver reliable, secure, and scalable solutions leveraging Azure, GitHub, Kubernetes, and modern CI/CD pipelines.
You will report to the Manager, Software Engineering and work in a hybrid environment based in Pune, India.
Your Responsibilities:
- Build and maintain CI/CD pipelines using Azure DevOps and GitHub Actions.
- Manage cloud infrastructure and services on Microsoft Azure.
- Deploy and support containerized applications using Docker and Kubernetes.
- Automate infrastructure provisioning and operational processes using Terraform and scripting.
- Monitor, troubleshoot, and optimize application performance and platform availability.
- Implement DevOps best practices, security controls, and release automation.
The Essentials - You Will Have:
- Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience.
- 5+ years of experience in DevOps, Cloud Engineering, or Infrastructure Automation.
- Strong experience with Azure, Azure DevOps, GitHub Enterprise, and GitHub Actions.
- Hands-on experience with Docker, Kubernetes, and CI/CD pipeline implementation.
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