Software QA Engineer ; MTS Job San Francisco area,California USA,IT/Tech

Position: Software QA Engineer 4 (MTS-4)

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?

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 are looking for a highly motivated Software QA Engineer 4 (MTS-4) with 8+ years of experience to drive quality across Cohesity's SaaS platform and Data Protection products.

The ideal candidate is passionate about test automation, AI-driven quality engineering, SaaS application testing, and validating large-scale backup and recovery workflows
. You will play a key role in ensuring the reliability, scalability, and resiliency of Cohesity's enterprise platform. What You’ll Do

Own end-to-end quality for SaaS and Data Protection features with an automation-first mindset.
Design, develop, and maintain scalable automation frameworks for UI, API, integration, and system testing.
Leverage AI/GenAI technologies to improve test automation, test coverage, defect detection, and root cause analysis.
Validate backup, recovery, disaster recovery, cyber resilience, and data management workflows across cloud and hybrid environments.
Execute large-scale system testing that simulates real-world enterprise deployments and customer workloads.
Integrate automated validation into CI/CD pipelines to enable continuous quality feedback.
Collaborate closely with Engineering and Product teams to drive quality throughout the development lifecycle.
Analyze failures, perform root cause analysis, and drive defects to closure.
Mentor junior engineers and contribute to automation and quality engineering best practices.

What You Bring

BS/MS in Computer Science or related field with 8+ years of QA and Test Automation experience
.
Strong hands-on experience on one or more automation frameworks such as PyTest, Selenium, Playwright, Robot Framework, or similar
.
Proven experience building scalable automation frameworks and automated test suites.
Strong experience testing SaaS products
, distributed systems, and cloud-native applications.
Deep understanding of Backup, Recovery, Data Protection, Disaster Recovery, and Cyber Resilience domains.
Hands-on experience with Kubernetes, public cloud platforms (AWS/Azure/GCP), and virtualization technologies (VMware, Hyper-V, KVM).
Experience with API testing, CI/CD pipelines, and system-level validation.
Strong Linux, debugging, troubleshooting, and analytical skills.
Experience using AI/GenAI tools and technologies to improve test automation and quality engineering workflows is a strong plus.

Preferred Candidate
A hands-on QA engineer with strong automation expertise, deep knowledge of SaaS and data protection platforms, and a passion for leveraging AI to improve software quality and engineering productivity. The ideal…