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
- Robust 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 developer