About this opportunity
Keeper Security, Inc. lists this Senior QA Analyst, AI & Machine Learning Systems opportunity in cameron park, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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:
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.