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FounditPosted on 2026-05-18
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Software Engineer in Test

Cohesity

BangaloreFull time5-12 yearsNot Disclosed

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Job Description

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

Want to help us simplify the world of data management

Cohesity sees rapid adoption in enterprises and the scale of deployments is growing every quarter. We believe that System Testing is one of the critical components for providing an ideal user experience when running different workloads. It is the most highly visible and impactful area that has the potential for defining the strategic directions for Cohesity's hyper-converged appliance.

We're seeking a skilled SDET who is passionate about System Testing, has an intuitive understanding of the limits of every layer in the hardware/software stack, has the intellectual diligence to reason about the theoretical limits of our software architecture, and is responsible for the areas with the highest impact.

HOW YOU'LL SPEND YOUR TIME HERE:

  • Work on innovative products for our on-prem and SaaS offerings areas and act as a champion for test efforts of one or more features.
  • Work with the engineering team during the feature design and implementation phases to develop:
  • Bring your experiences within the test methodology (crafting the test approach) to test the feature end-to-end.
  • Leverage previous knowledge to build test plans.
  • Collaborate with other testing members, developers, technical writers, and customer solutions engineers to ensure the company delivers high-quality products to our customers.
  • Implement multiple iterations of the test plan by running manual and automated test cases.
  • Analyze failures and root cause issues, file defects, and follow up with developers, documentation, and other teams on the resolution.
  • Automate test cases.
  • Supervise and lead continuous integration environments.
  • Mentor team members and provide influence to other business units.

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

  • BCS or MCS in addition to the relevant professional experience (5-12 years)
  • Demonstrated ability in testing systems products (storage, networking, virtualization, etc.)
  • Have a high bar for the quality of the product.
  • Creative, independent, self-motivated, and willing to learn new technology.
  • Possess a good understanding of QA methodologies and processes.
  • Ability to take up a variety of roles in a startup environment.
  • Excellent solving abilities spanning multiple software and hardware components (such as switches, storage systems, and kernels).
  • Good knowledge of Linux and should become comfortable with Shell.
  • Prior experience in programming, preferably in Go or Python.
  • Knowledge of Hypervisors like ESXi, HyperV, and KVM.
  • Experience with distributed systems (databases, storage, map-reduce frameworks, etc.) is a plus.
  • Strong test planning ability is a huge plus.
  • Validated experience in some of the following areas: Data Protection, Filesystem, Cloud, SaaS, and Platform.
  • Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision making.

Data Privacy Notice for Job Candidates:

For information on personal data processing, please see our
Privacy Policy.

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
[HIDDEN TEXT] 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.

About The Company

Cohesity

A modern platform for the AI era Our mission at Cohesity is simple: to protect, secure, and provide insights into the world’s data. The largest organizations around the globe rely on us to strengthen their business resilience. With the Cohesity Data Cloud, we are able to deliver on that mission. Our customers can recover from cyber events faster, manage and secure their data at enterprise scale, and gain valuable insights with our industry-leading AI capabilities.

Company Size1000-5000
Founded2013
HeadquartersSan Jose, California
IndustrySoftware Development
TypePrivately Held
SpecialitiesData Protection, Security, Ransomware Recovery, Data Security, Data Management, SaaS, Software, Hybrid Cloud, Cloud, Multicloud, Cyber Recovery, Data Recovery, Disaster Recovery, Data Infrastructure, Data Center, IT, Business Continuity, Analytics, Test & Dev, Distributed Systems, Information Technology, Digital Transformation, AI, Generative AI, Cyber Resilience, Data Resilience, Backup and Recovery, Instant Mass Restore, Long-Term Retention, Threat Protection, Data Classification, Data Mobility, Data Migration, Data Replication, Data Insights, Responsible AI, AI Conversational Search, and Conversational AI

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