Cloud Operations Support Engineer
US$108,000 – US$151,500 / yr base salary
Posted 23 Sep 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 2+ yrs
- Management level
- Individual contributor
| Base salary | US$108,000 – US$151,500 / yr |
|---|
About Druva
Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence.
Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world.
Visit druva.com and follow us on LinkedIn, X and Facebook.
About the Role
As a Cloud Operations Engineer at Druva, the industry leader in Cloud Data Protection and Management, you will play a key role in supporting, maintaining, and scaling cloud infrastructure within a fast-paced, complex, and FedRAMP-certified environment. Working under general guidance, your focus will be on developing professional expertise in cloud operations, addressing tasks of moderate scope, proactive monitoring, and assisting cross-functional teams to deliver reliable, highly available solutions for our growing customer community.
Responsibilities:
- Participate in weekly team meetings, working closely with devops, support, and quality assurance
- Monitor and manage all cloud infrastructure, including Friday evening deployments of production updates and OS patches
- Support various AWS and Azure services being utilized and gain foundational expertise across primary infrastructure components
Incident Response and Troubleshooting:
- Prioritize and address tickets related to server, network, and storage issues
- Provide escalated support for problems and incidents
- Ensure incident resolution is within the defined SLA (Service Level Agreement)
Automation and Monitoring:
- Develop, maintain, and enhance Infrastructure as Code (e.g., Terraform, CloudFormation) and automation scripts for testing and deployment.