Cohesity is a leader in AI-powered data security and management. Aided by an extensive ecosystem of partners, Cohesity makes it easy to secure, protect, manage, and get value from data — across the data center, edge, and cloud. Cohesity helps organizations defend against cybersecurity threats with comprehensive data security and management capabilities, including immutable backup snapshots, AI-based threat detection, monitoring for malicious behavior, and rapid recovery at scale.

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

Join us on our mission to shape the future of our industry.

We are seeking an outstanding Engineer who brings the experience of building LARGE distributed systems and solving sophisticated problems.

Cohesity Data Platform is a limitless scale out system. It is the industry’s only hyperconverged platform crafted 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.

HOW YOU'LL SPEND YOUR TIME HERE:

• Design, develop and maintain innovative products for our on-prem as well as SaaS offerings
• Collaborate with product management, other cross functional leads and teams on both technical and business strategy to shape the future product roadmap for Cohesity’s infinitely scalable platform.
• Implement product features for on-prem and cloud platforms.
• Drive accountability for test driven development, delivery of high-quality features and resilient enterprise class solutions.
• Lead a culture of team ownership and direct individual and team accountability to continuously improve how they work and achieve results.
• Participating in Agile development processes.

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

• BS/MS/Phd in Computer Science or Engineering.
• Strong coding experience in any of these languages - C++, Java, Golang
• Previous experience in Data Protection, Filesystems or Storage is a nice-to-have.
• 12+ years of developing and troubleshooting large scale distributed systems.
• A fast learner and self-starter with intellectual horsepower.
• Hands-on experience with AI-assisted coding tools (Cursor, Claude, Copilot).
• Good analytical, debugging and troubleshooting skills.
• Problem-solver who can dive deep to solve complex problems/issues.
• Bring good testing methodologies and passion for building quality products.
• Knowledge of Microservices, SaaS architecture, Cloud native services is a plus.
• Knowledge of agile/scrum methodologies.

We are seeking an outstanding Engineer who brings the experience of building LARGE distributed systems and solving sophisticated problems.

Cohesity Data Platform is a limitless scale out system. It is the industry’s only hyperconverged platform crafted 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.

HOW YOU'LL SPEND YOUR TIME HERE:

• Design, develop and maintain innovative products for our on-prem as well as SaaS offerings
• Collaborate with product management, other cross functional leads and teams on both technical and business strategy to shape the future product roadmap for Cohesity’s infinitely scalable platform.
• Implement product features for on-prem and cloud platforms.
• Drive accountability for test driven development, delivery of high-quality features and resilient enterprise class solutions.
• Lead a culture of team ownership and direct individual and team accountability to continuously improve how they work and achieve results.
• Participating in Agile development processes.

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

• BS/MS/Phd in Computer Science or Engineering.
• Strong coding experience in any of these languages - C++, Java, Golang
• Previous experience in Data Protection, Filesystems or Storage is a nice-to-have.
• 12+ years of developing and troubleshooting large scale distributed systems.
• A fast learner and self-starter with intellectual horsepower.
• Hands-on experience with AI-assisted coding tools (Cursor, Claude, Copilot).
• Good analytical, debugging and troubleshooting skills.
• Problem-solver who can dive deep to solve complex problems/issues.
• Bring good testing methodologies and passion for building quality products.
• Knowledge of Microservices, SaaS architecture, Cloud native services is a plus.
• Knowledge of agile/scrum methodologies.

#LI-RB1

Disclosure Pursuant to Applicable State Equal Pay Transparency Laws - This position has a starting pay range as listed below. Actual salary depends upon many factors, including a candidate’s skills, qualifications and experience, location, and salary expectations, and therefore a starting salary at the low end, high end, or even above the stated range may be offered. This position may also be eligible for bonus compensation, commission (if in a sales function), and/or equity grants. Additionally, full-time employees are eligible to participate in our comprehensive benefits framework, including health and wellness benefits, vacation, paid holidays and refresh days, 401(k) retirement plan, life and disability insurance coverages, and other benefits the Company may offer from time to time.

The compensation noted above is based on an annualized hourly rate assuming normal full-time employment.

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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 1-855-9COHESITY or [email protected] 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.

We strongly prefer candidates who are currently located in or near the designated job location. Candidates outside the area should apply only if they are committed to relocating prior to their start date and have the legal right to work in the job location.