DevOps Engineer for AI Infrastructure

1 week ago


Mumbai, Maharashtra, India DDN Full time
Transformative Opportunity in AI and Data Storage

We are seeking a highly skilled DevOps Engineer to join our Lustre and EXA Engineering team at DDN, a global leader in AI and multi-cloud data management. As a key member of our team, you will play a critical role in accelerating AI workloads, enabling organizations to extract maximum value from their data.

Estimated Salary: $140,000 - $180,000 per year

This is an exceptional opportunity to make a significant impact in the world of AI and data storage. With over two decades of innovation, we have established ourselves as a pioneer in high-performance data storage solutions. Our commitment to customer-centricity, innovation, and teamwork has earned us recognition as a trusted partner in the industry.

The ideal candidate will have a strong background in Linux systems, scripting languages (Bash, Python, Ruby), and automation tools (Make, CMake). Experience with build automation, dependency management, and CI/CD pipelines using GitHub Actions is highly desirable. Knowledge of infrastructure as code (IaC) tools like Terraform, Pulumi, and configuration management tools (Chef or Ansible) is also essential. Additionally, expertise in monitoring tools (Zabbix, Prometheus) and log analysis and reporting tools (Splunk, ELK stack, Grafana) is required.

The responsibilities of this role include maintaining and supporting infrastructure, managing computer networks, optimizing tools and applications, automating configuration and provisioning, building and maintaining CI/CD pipelines, and developing solutions for log analysis and reporting. The successful candidate will also be responsible for creating and deploying RPM and DEB packages, automating provisioning of bare-metal servers, VMs, and containers, and troubleshooting complex issues.

In return for your skills and experience, we offer a competitive salary range of $140,000 - $180,000 per year, depending on qualifications and location. We prioritize reliability, scalability, visibility, and security to create an ecosystem that empowers our engineering teams to build and deliver faster.

If you are a driven professional looking to make a lasting impact in the world of AI and data storage, we encourage you to apply for this transformative opportunity.



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