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?
We are seeking a highly skilled and motivated engineer to design, develop, and deliver next-generation, cloud-native SaaS products. This individual will play a pivotal role in building large-scale distributed data platforms and high-performance services that power our modern data ecosystem. The ideal candidate is passionate about designing for scale, reliability, and operational excellence in a multi-cloud environment
HOW YOU'LL SPEND YOUR TIME HERE:
Build and deliver next-generation products designed to run efficiently as Software-as-a-Service (SaaS) on leading
public cloud platforms (AWS, Azure, and GCP)
Architect and implement large-scale distributed data systems that are optimized for performance, scalability, reliability, and resilience to meet enterprise-grade requirements
Design and operationalize high-performance microservices and data pipelines, ensuring end-to-end system health, scalability, and fault tolerance.
Efficiently collaborating with product management, other cross-functional leads and teams on both technical and business strategies to improve and build the future product roadmap for Cohesity’s infinitely scalable platform.
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 improve how they work and achieve results continuously.
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 with strong competencies in data structures, algorithms, and software design
7+ years of back-end software development experience
Expert-level programming and debugging skills in C++
Proven expertise in building cloud-native, distributed systems on AWS, Azure, or GCP
Understanding of multithreading, concurrency, and parallel processing
Strong knowledge of system performance and scaling
Familiarity with AWS ecosytem - S3, SQS, AWS data protection services
Proven skills to solve complex problems.
Experience with debugging and diagnosing production software.
Ability to drive tasks to completion and take ownership of projects
Ability to work in a fast-paced and agile development environment
Possess excellent communication and sharp analytical abilities
Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision making.
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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.
Interested candidates based outside of the designated areas are welcome to apply, provided they have the right to work in the job location.
Top Skills
What We Do
We believe that simplicity is the foundation of modern data management. Our mission is to radically simplify how organizations manage their data and unlock limitless value.
