Principal Engineer-Backend
Commvault
| Company | Commvault |
| Category | Engineering |
| Location | Seoul |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 11 Feb 2026 |
| Last verified | 31 Jul 2026 |
| Source | Employer career page (greenhouse) |
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.
If you suspect a recruiting scam, please contact us at [email protected]
About Commvault
Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover, take action, and rapidly recover from cyberattacks – keeping data safe and businesses resilient. The company’s unique AI-powered platform combines best-in-class data protection, exceptional data security, advanced data intelligence, and lightning-fast recovery across any workload or cloud at the lowest TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks, improve governance, and do more with data. About the Team
The Clumio Data Protection team designs and operates cloud-native systems that protect and recover large volumes of enterprise cloud data. For many customers, backup is not a “nice-to-have” feature but a mandatory foundation driven by compliance, audit, and security requirements. In these environments, recovery speed, cost efficiency, and the ability to operate reliably at large data scales are critical differentiators.
The systems are designed to protect and recover cloud object data in a fully cloud-native manner. Compared to native cloud backup solutions, the platform delivers significantly faster recovery, lower cost for large-scale object storage workloads, and reliable support for substantially higher data volumes. These outcomes result from deliberate engineering decisions across system architecture, data flows, and failure-handling strategies.
The platform is built to gracefully handle disruptions through reprocessing and retries while maintaining correctness under real-world operational conditions at scale. The team operates a proven production platform supporting services such as Amazon S3 and DynamoDB and is expanding into multi-cloud data protection across GCP and Azure.
Role Overview
As a Senior Principal Engineer on the Clumio Data Protection team, you are a senior technical authority for data protection correctness, durability, and recovery guarantees, reporting to the Engineering Director. This role operates at a company-critical scope, combining deep hands-on engineering with product-wide technical leadership and multi-year architectural ownership over systems that directly underpin customer trust, compliance, and business credibility.
You define and drive the long-term technical and product-facing vision for data protection across the Clumio platform, spanning backup, recovery, replication, policy enforcement, metadata integrity, and failure handling across multiple cloud environments. You are responsible not only for the architectural integrity of these systems, but also for helping translate ambiguous customer, business, and product needs into clear technical strategy and execution plans. You work closely with the Engineering Director and Product leadership to shape roadmaps, sequence major initiatives, and ensure technical investments align with long-term product goals.
You lead the organization's complex, high-risk, and ambiguous initiatives—projects where requirements are few, problem boundaries are unclear, and tradeoffs have significant customer and business impact. This includes defining problem spaces, driving cross-functional alignment, designing systems with provable correctness, rigorously analyzing failure modes and recovery paths, and setting technical standards that ens
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