Software Engineer - Automation at Commvault in Seoul

Job description

Recruitment Fraud Alert We’ve learned that scammers are impersonating Commvault team members—including HR and leadership—via email or text. These bad actors may conduct fake interviews and ask for personal information, such as your social security number. What to know: Commvault does not conduct interviews by email or text. We will never ask you to submit sensitive documents (including banking information, SSN, etc) before your first day. Commvault recruiters may contact prospective candidates through LinkedIn and other professional networking platforms regarding career opportunities. If you are unsure whether a recruiting communication is legitimate, review the profile to ensure they have a badge verifying them as a Commvault employee. If you suspect a recruiting scam, please contact us at wwrecruitingteam@commvault.com About Commvault Commvault (NASDAQ: CVLT) delivers continuous recovery for the AI era. We help organizations stay ready for constant disruption by returning critical data, applications, identities, and AI systems to a clean, trusted state. Our purpose-built recovery solutions span cloud-native and hybrid environments, leveraging AI to enable resilience at enterprise scale. About the Team 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. Role Overview 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. What You’ll Do Work with a highly motivated team of engineers in a fast-paced environment. Design and build test automation frameworks and tools. Set up infrastructure (storage, co