The Automation team at Clumio (Commvault) works closely with the backend team to help build and validate a cloud-scale SaaS backup platform that helps enterprises meet their cloud data protection needs. For many customers, backup is not a “nice-to-have” — it is a mandatory foundation driven by compliance, audit, and security requirements, where recovery speed, cost efficiency, and the ability to handle large-scale data are critical differentiators in real-world environments.
Our systems protect and recover large volumes of cloud object data in a cloud-native way. Compared to native cloud backup solutions, we deliver up to 10× faster recovery times, roughly half the cost for S3 workloads, and the ability to reliably support significantly larger data scales. These outcomes come from deliberate engineering decisions across system architecture, data flows, and failure-handling strategies.The platform is designed to gracefully handle and recover from failures through reprocessing and retries, while maintaining correctness and reliability at scale. The team operates a proven platform built on Amazon S3 and DynamoDB and is now expanding into multi-cloud data protection across GCP and Azure — an opportunity to apply and evolve our approach across diverse cloud ecosystems.
Beyond our SaaS solutions, we are also building AI agents that help our customers get more value from their data and operations. As a team, we embrace modern engineering practices, including agentic AI-assisted coding, to build and ship faster — and you will have the opportunity to work hands-on with these tools and techniques.
As a Software Engineer focused on automation, you will help ensure a very high engineering quality bar for Clumio’s best-in-class SaaS platform for data protection in the public cloud. You will work closely with Development, Product Management, and Customer Success teams, and grow your skills alongside experienced engineers. This is a great opportunity for a new college graduate or early-career engineer who is passionate about learning Python-based automation, and who wants to learn about modern SaaS platforms and their deployments in clouds like AWS, GCP, and Azure.
The team builds Python-based automation to interact with and manipulate AWS infrastructure that simulates customer environments, involving services such as EC2, RDS, DynamoDB, S3, Cognito, SQS, SNS, VPC, CloudFormation, Lambda, Kubernetes, and Docker. As an automation team member, you get to build best-in-class data-generation tools to set up scale environments and build REST API libraries.