Hybrid Senior QA Analyst, AI – Threat Analytics

Posted last month

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About the role

  • Senior QA Analyst focused on testing AI and ML-driven features ensuring quality and performance standards. Collaborates closely with engineering teams for cybersecurity software.

Responsibilities

  • Design and execute test plans for AI and ML-driven features, including classification, summarization, anomaly detection and autofill systems
  • Develop Python-based automation and evaluation scripts to validate model performance, reliability and output quality
  • Test LLM-based features for accuracy, guardrail effectiveness, hallucination risk and behavior under edge cases
  • Validate data pipelines, input/output transformations and model integration points across Keeper’s platform
  • Conduct regression testing on ML models and AI workflows to ensure reliability across releases
  • Test enterprise-scale behavior analysis features driven by data from ARAM, PAM and session recordings
  • Validate security, privacy and zero-trust requirements for AI model interactions and data handling
  • Collaborate with ML engineers and cross-functional teams to refine model behavior, identify defects and improve output quality
  • Analyze logs, metrics and model outputs to detect anomalies, performance issues or silent failures

Requirements

  • 3+ years of experience in QA, test automation or evaluation of complex systems
  • Hands-on experience writing Python automation or evaluation scripts for testing APIs, model outputs or data pipelines
  • Understanding of machine learning concepts such as classification, summarization, embeddings, anomaly detection or behavior analysis
  • Experience testing LLM-integrated features or AI-driven workflows
  • Familiarity with ML tooling such as Pytest, Hugging Face libraries, Jupyter Notebooks or similar
  • Experience with API testing, JSON validation and test data generation
  • Ability to test nondeterministic systems and evaluate model quality with structured methodologies
  • Strong analytical, troubleshooting and communication skills
  • Experience testing cloud-integrated applications or systems deployed on AWS
  • Bachelor’s degree in Computer Science, Information Systems or related field, or equivalent practical experience

Benefits

  • Medical, Dental & Vision (inclusive of domestic partnerships)
  • Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life
  • Voluntary Short/Long Term Disability Insurance
  • 401K (Roth/Traditional)
  • A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc)
  • Above market annual bonuses**

Job title

Senior QA Analyst, AI – Threat Analytics

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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