Principal Engineer - Automation

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 help shape how we adopt and scale these tools and techniques.

As a Principal Engineer on the Automation team, you will set the technical direction for how we validate and harden Clumio’s best-in-class SaaS platform for data protection in the public cloud. You are a hands-on technical leader who designs large-scale automation architecture, raises the engineering quality bar across the team, and mentors engineers at all levels. You will partner closely with Development, Product Management, and Customer Success leadership to anticipate risk, shape strategy, and ensure the platform performs reliably at scale and across multi-cloud environments.

Our automation is built primarily in Python and interacts with and manipulates AWS infrastructure that simulates customer environments, involving services such as EC2, RDS, DynamoDB, S3, Cognito, SQS, SNS, VPC, CloudFormation, Lambda, Kubernetes, and Docker. As a Principal Engineer, you will architect the next generation of our data-generation tools, scale-test environments, and REST API libraries, and lead our adoption of agentic AI-assisted coding and AI agents across the team.

• Own and drive the technical vision and architecture for automation across the platform.
• Design and build large-scale automation frameworks, tools, and scale-test environments.
• Lead the design and implementation of end-to-end integration, load, and stress tests for backup and restore across AWS, GCP, and Azure.
• Set and evangelize best practices in testing, automation, and product quality across multiple teams.
• Drive adoption of agentic AI-assisted coding and AI agents to accelerate how the team builds and ships.
• Partner with Development, Product Management, and Customer Success leadership on strategy, risk, and customer escalations.
• Mentor and grow engineers through design discussions, code reviews, and technical coaching.
• Influence cross-team technical decisions and align implementations with the broader engineering direction.

• 8+ years of industry experience designing and building automation and/or test frameworks for large-scale production systems.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Deep expertise in Python or Go and in designing scalable, maintainable automation architecture.
• Proven track record as a hands-on technical leader who has set direction and raised the quality bar across teams.
• Strong experience with public cloud technologies (AWS, Azure, or GCP) and cloud-native system design.
• Experience mentoring engineers and influencing technical decisions across an organization.
• Working knowledge of English.

Note:Applicants must have valid authorization to work in South Korea. Commvault does not provide visa sponsorship for this role

Nice to Have
•    Hands-on experience with Docker and container orchestration such as Kubernetes.
•    Experience building or operating cloud data protection, backup, or large-scale storage systems.
•    Familiarity with agentic AI-assisted coding tools and building AI agents.

• You’ll collaborate with amazing, driven, and supportive teammates.
• You’ll shape the technical direction of high-impact, large-scale cloud data protection systems used by global enterprises.
• You’ll enjoy continuous professional growth through development programs and clear career pathways.
• You’ll thrive in an inclusive, open culture with opportunities to connect through our Community Guilds.
• You’ll receive generous global benefits designed to support your well-being.
• You’ll earn competitive compensation that reflects your impact.
• You’ll share in our success through our Employee Stock Purchase Plan.

Note:Applicants must have valid authorization to work in South Korea. Commvault does not provide visa sponsorship for this role

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