Senior QA Analyst, AI & Machine Learning SystemsKeeper Security • Shingle Springs, California, United States

Senior QA Analyst, AI & Machine Learning Systems

Keeper Security

Shingle Springs, California, United States

Shingle Springs, California, United States

About

Description Keeper is hiring a talented Senior QA Analyst to join our AI & Threat Analytics team. This is a 100% remote position from select locations, with an opportunity to work a hybrid schedule for candidates based in the El Dorado Hills, CA or Chicago, IL metro areas. About Keeper Keeper Security is transforming cybersecurity for organizations globally with zero-trust privileged access management built with end-to-end encryption. Keeper’s cybersecurity solutions are FedRAMP and StateRAMP Authorized, SOC 2 compliant, FIPS 140-2 validated, as well as ISO 27001, 27017 and 27018 certified. Keeper deploys in minutes, not months, and seamlessly integrates with any tech stack to prevent breaches, reduce help desk costs and ensure compliance. Trusted by millions of individuals and thousands of organizations, Keeper is the leader for password, passkey and secrets management, privileged access, secure remote access and encrypted messaging. Learn how our zero-trust and zero-knowledge solutions defend against cyber threats at KeeperSecurity.com. About The Role The Senior QA Analyst, AI & Threat Analytics will provide technical leadership for testing AI and Machine Learning driven features across Keeper’s platform. This role focuses on validating the behavior, reliability, and quality of AI systems, including LLM-based summarization, classification, autofill, and behavior analysis pipelines. You will design and execute test strategies for nondeterministic systems, develop Python-based automation and evaluation tools, and validate model outputs, guardrails, and data flows. This role does not involve training models, but works closely with ML engineers, security teams, and product engineering to ensure AI features meet Keeper’s quality, safety, and performance standards in production environments. Responsibilities Design and execute test plans for A.I and Machine Learning 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 identify defects and improve model behavior 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 software 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-related tooling such as Pytest, Jupyter Notebooks, Hugging Face libraries, or similar Experience with API testing, JSON validation, and test data generation Ability to test nondeterministic systems and evaluate model quality using structured methodologies Strong analytical, troubleshooting, and communication skills Experience testing cloud-integrated systems, preferably on AWS Bachelor’s degree in Computer Science, Information Systems, or equivalent practical experience Preferred Qualifications Experience testing security-focused AI or threat analytics systems Familiarity with ML observability tools, vector databases, or data processing frameworks Experience testing behavior analysis, video, or image-processing pipelines Knowledge of zero-trust principles and secure data handling Experience working with LLM providers or AI guardrail frameworks 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 Keeper Security, Inc. is an equal opportunity employer and participant in the U.S. Federal E-Verify program. We celebrate diversity and are committed to creating an inclusive environment for all employees. Classification: Exempt Keeper Candidate Privacy Notice This notice explains how Keeper Security processes your personal data during recruitment. Depending on the role and location, the Controller of personal data (the organization responsible for determining why and how personal data is processed) will be Keeper Security Inc. (US), Keeper Security EMEA Ltd. (Ireland), or Keeper Security APAC K.K (Japan). Data We Collect Information You Provide - Contact details, CV/resume, cover letter Employment history, qualifications, work eligibility Application responses and uploaded documents Information We Generate Interview notes, assessments, communications Scheduling information Information From Others Recruiter/referral information who submit your profile References (with your consent, before final offer) Public professional profiles Background verification (post offer) Voluntary Diversity and Equal Opportunity Information We may ask you to voluntarily provide diversity information including race/ethnicity, gender, disability status and veteran status (US) Internal HR, hiring managers, interviewers, IT support for system administration Third Parties Service providers who assist with Applicant tracking, recruitment systems and assessment providers Keeper ensures that all our third parties are contractually bound to protect your personal data with adequate safeguards in place. Security We implement appropriate technical and organizational measures to protect your data, consistent with our industry leading security standards. Retention We keep your data for 24 months from your last application activity, then delete or anonymize it. Exceptions You opt into our talent database for further retention by providing consent (extended retention) You're hired (transfers to employee records) Your Rights You have the following rights and can contact us at the email below to exercise them: Access, correct, or delete your data, subject to applicable law and retention requirements Object to or restrict processing Withdraw consent (where applicable) Request data portability Lodge a complaint with your data protection authority If you become an employee, your rights regarding your employee record are governed by our internal Employee Privacy Notice and certain data will be retained as required under relevant laws such as employment or tax law. When you request access to your personal data, some information may be redacted if it includes the personal data of other individuals or information that we must protect in order to preserve their privacy rights. Automated Decisions Keeper does not make hiring decisions using solely automated processing. Contact - Candidates can send privacy questions to: privacy@keepersecurity.com
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Shingle Springs, California, United States

Languages

English

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