Staff Software Engineer

Cohesity is the leader in AI-powered data security. Over 13,600 enterprise customers, including over 85 of the Fortune 100 and nearly 70% of the Global 500, rely on Cohesity to strengthen their resilience while providing Gen AI insights into their vast amounts of data. Formed from the combination of Cohesity with Veritas' enterprise data protection business, the company's solutions secure and protect data on-premises, in the cloud, and at the edge. Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in Santa Clara, CA, with offices around the globe.  

We've been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design , and our culture. 

Want to join the leader in AI-powered data security? 

As part of this core development team, you will design and build massively distributed systems at web-scale. You will be building the core backend of the Cohesity Data Platform and Cohesity SpanFS (limitless Filesystem). Cohesity Data Platform is a limitless scale out system. It is the industry's only hyperconverged platform designed to consolidate ALL secondary storage and data services built on web-scale distributed architecture. Cohesity SpanFS was built to consolidate all secondary storage and eliminate legacy storage silos. It's the only file system that combines NFS, SMB and S3 interfaces, global deduplication, and unlimited snaps and clones, on a web-scale platform. No more compromising between enterprise and cloud stacks There will be a large variety of features to work on including: hyper-convergence, distributed data path, distributed filesystem, data across thousands of nodes, object storage, cloud services, asynchronous programming, performance optimization, software-defined infrastructure, consensus protocols, massively parallel and distributed data sets, infinite scalability, snapshots, resiliency, deduplication, compression, replication, multiple protocols, fault-tolerance, infrastructure and more that we cannot disclose yet. We are looking for exceptional Engineers/Leads who bring the experience of building LARGE distributed systems and solving complex problems

HOW YOU'LL SPEND YOUR TIME HERE:

• Experience with large-scale, highly available distributed systems
• Experience working on large-scale engineering challenges
• Strong understanding of multithreading, concurrency, and parallel processing
• Expert-level programming and debugging skills in C++
• Strong understanding of system performance and scaling
• Hands-on experience with: Replication and disaster recovery, NAS protocols such as SMB, CIFS, NFS, S3, NAS, filers, file systems, Familiarity with distributed filesystems and object storage (huge plus)
• Proven skills in solving complex problems
• Debugging, diagnosing, and troubleshooting complex, production-grade software
• Identifying performance bottlenecks and applying performance optimization

WE'D LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING:

• Strong coding experience in C++

• Comfortable in using tools - JIRA, GitHub, Testrail

• BS/MS in Computer Science or Engineering

• 10+ years of developing and solving problems for large-scale distributed systems written in C++ on Linux and Windows Platforms

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Equal Employment Opportunity Employer (EEOE)

Cohesity is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at COHESITY or for assistance.

In-Office Expectations

Cohesity employees who are within a reasonable commute (e.g. within a forty-five (45) minute average travel time) work out of our core offices 2-3 days a week of their choosing.

Interested candidates based outside of the designated areas are welcome to apply, provided they have the right to work in the job location.