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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong employer brand plus metro location but specialized QA skills reduce applicant density.
Requires deep backup/recovery and SaaS test experience, making industry crossover limited.
Explicit 8+ years and mandatory automation, cloud, and backup domain skills enforce strict filters.
Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end quality and test automation for Cohesity's SaaS platform and Data Protection products, ensuring reliability, scalability, and resiliency.
Design, develop, and maintain scalable automation frameworks covering UI, API, integration, and system-level testing, including large-scale system testing simulating enterprise deployments.
Leverage AI/GenAI technologies to improve test automation, defect detection, root cause analysis, and integrate automated validation into CI/CD pipelines.
Minimum Requirements
8+ years of QA and Test Automation experience with a BS/MS in Computer Science or related field.
Strong hands-on experience with automation frameworks such as PyTest, Selenium, Playwright, or Robot Framework.
Experience testing SaaS products, distributed systems, cloud-native applications, and deep domain knowledge in Backup, Recovery, Data Protection, Disaster Recovery, and Cyber Resilience.
Experience with Kubernetes, public cloud platforms (AWS/Azure/GCP), virtualization (VMware, Hyper-V, KVM), API testing, CI/CD pipelines, and strong Linux troubleshooting skills.
Ideal Candidate Profile
Experienced hands-on QA engineer with strong automation expertise and deep knowledge of SaaS and data protection domains.
Comfortable applying AI/GenAI tools to enhance software quality and engineering productivity.
Technical depth combined with customer-centric and ownership mindset to deliver high-quality software at scale.