HYCU is the fastest-growing leader in the multi-cloud and SaaS data protection as a service industry. By bringing true SaaS-based data backup and recovery to on-premises, cloud-native, and SaaS IT environments, the company provides unrivaled data protection, migration, disaster recovery, and ransomware protection to thousands of companies worldwide. The company's award-winning R-Cloud platform eliminates complexity, risk, and the high cost of legacy-based solutions, providing data protection simplicity to make it the #1 SaaS Data Protection platform. With an industry leading NPS score of 91, HYCU has raised $140M in VC funding to date and is based in Boston, Mass. Learn more at www.hycu.com.
Overview
We are building next-generation Generative AI products that deliver actionable data insights at enterprise scale. Quality, reliability, and trust are critical for AI-driven systems. Our QA and Automation team ensures that AI workflows, data pipelines, and platforms are robust, observable, and production-ready.
Job Summary (Essential Functions)
Design and implement automated test frameworks for AI, data, and application workflows.
Validate end-to-end AI pipelines including data ingestion, model inference, and outputs.
Test AI model behavior for accuracy, consistency, and regressions.
Collaborate with engineering teams to improve testability and quality.
Monitor system health and proactively identify quality risks.
Technical Skills & Job Requirements
Solid experience in test automation and quality engineering.
Hands-on experience with API testing and backend validation.
Experience testing data pipelines or data-driven systems.
Proficiency in scripting or programming languages such as Python.
Familiarity with CI/CD pipelines and automated testing integration.
Responsibilities
Build and maintain automated test suites for AI and data platforms.
Validate AI outputs and detect regressions or anomalies.
Work closely with developers to resolve defects an