Software Development Test Engineer (SDET), AI & Automation

Description Keeper Security is hiring a Senior Software Development Engineer in Test (SDET), AI & Automation to join our AI team and help build a modern, automated approach to quality across AI-powered products and services. This is a 100% remote position, with an opportunity to work a hybrid schedule for candidates based in the El Dorado Hills, CA or Chicago, IL metro areas. Keeper’s cybersecurity software is trusted by millions of people and thousands of organizations globally. Keeper is published in 23 languages and sold in over 150 countries. Join one of the fastest-growing cybersecurity companies and help establish scalable quality engineering practices for AI-driven systems operating in security-sensitive environments. About Keeper Keeper Security is one of the fastest-growing cybersecurity software companies that protects thousands of organizations and millions of people in over 150 countries. Keeper is a pioneer of zero-knowledge and zero-trust security built for any IT environment. Its core offering, KeeperPAM®, is an AI-enabled, cloud-native platform that protects all users, devices and infrastructure from cyber attacks. Recognized for its innovation in the Gartner Magic Quadrant for Privileged Access Management (PAM), Keeper secures passwords and passkeys, infrastructure secrets, remote connections and endpoints with role-based enforcement policies, least privilege and just-in-time access. Learn why Keeper is trusted by leading organizations to defend against modern adversaries at KeeperSecurity.com. About The Job As a Senior SDET, AI & Automation, you will serve as an embedded quality engineering partner within Keeper’s AI team. You will work alongside engineers and Product throughout design and development to define test strategy, establish acceptance criteria and build automated coverage as AI-powered capabilities are being developed. This role requires experience testing both traditional deterministic software systems and non-deterministic AI/ML systems. Traditional application behavior can often be validated against consistent expected outputs, while AI models may produce different but acceptable results across models, prompts and inputs. You will help design testing approaches that account for this variability while still establishing measurable quality, reliability and safety standards. You will build automation frameworks, develop deterministic and probabilistic validation strategies, integrate testing into CI/CD workflows and help Keeper move toward continuous quality engineering rather than end-of-cycle QA. Responsibilities Partner directly with AI engineers, Software Engineers and Product Managers during design and development to define test strategy, acceptance criteria and automation requirementsDesign and maintain automated testing frameworks for AI-powered applications, backend services, APIs and supporting software systemsDevelop testing strategies for both deterministic software behavior and non-deterministic AI/ML outputsDefine measurable evaluation criteria, tolerances and quality thresholds for AI model and LLM-driven functionalityBuild automated regression, integration, API and end-to-end coverage alongside feature developmentDevelop test harnesses and evaluation workflows for prompts, models, agents, tool-calling workflows and AI-integrated applicationsValidate AI behavior across different models, prompts, inputs and system configurationsDevelop automated test utilities using languages such as Python, Java, JavaScript/TypeScript, Rust or similar technologiesIntegrate automated validation and quality gates into CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI or similar platformsBuild and maintain test datasets, mocks, fixtures and synthetic data required for repeatable AI and software validationAnalyze model and application failures to distinguish defects, expected model variability, data issues and test instabilityEvaluate AI outputs for reliability, consistency, safety and alignment with expected product behaviorWork with engineering teams to improve application testability, observability and diagnostic capabilitiesTrack test cases, execution results and coverage using TestRail or similar test management platformsAnalyze logs, telemetry and system behavior to identify root causes and produce clear, reproducible defect reportsReduce flaky tests and improve the speed, stability and maintainability of automated test suitesContribute to quality engineering standards, AI testing methodologies and automation best practices across Keeper’s AI organizationUse AI-assisted tools such as Claude, ChatGPT, GitHub Copilot or similar platforms to improve automation development, test generation, debugging, analysis and documentation Requirements 5+ years of experience in SDET, software development, test automation or another code-intensive quality engineering roleHands-on experience testing AI/ML, LLM-powered or model-integrated software systemsStrong understanding of the differences between deterministic software testing and non-deterministic AI/ML validationExperience defining evaluation criteria, expected behaviors, tolerances or scoring approaches for AI-driven functionalityStrong programming skills in Python, Java, JavaScript/TypeScript, Rust or another general-purpose programming languageSignificant experience designing, developing and maintaining automated test frameworksExperience building automated functional, integration, API and end-to-end test coverageExperience testing REST APIs and distributed application workflows using tools such as Postman, REST Assured or similar platformsExperience integrating automated tests into CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI or similar technologiesExperience working within an Agile software development team with close collaboration between QA, Engineering and ProductStrong understanding of shift-left testing, continuous quality and testability principlesExperience with TestRail or similar test management platformsStrong debugging and troubleshooting skills using logs, APIs, application telemetry and development toolsExperience with Git-based development workflows, code review and modern software engineering practicesFamiliarity with AI-assisted development and testing tools such as Claude, ChatGPT, GitHub Copilot or similar technologiesStrong analytical and problem-solving skills with the ability to evaluate variable AI behavior without relying solely on exact-match outcomesStrong written and verbal communication skills and ability to collaborate closely with AI engineers, Software Engineers, Product Managers and QA professionalsBachelor’s degree in Computer Science, Engineering or a related technical field, or equivalent practical experienceDue to this role’s involvement with FedRAMP compliance requirements, qualified candidates must be a U.S. Person, defined as a U.S. citizen or lawful permanent resident. Preferred Qualifications Experience testing LLMs, agentic systems, retrieval-augmented generation, tool calling or prompt-driven workflowsExperience building automated model evaluation, benchmarking or regression frameworksFamiliarity with AI evaluation metrics and techniques for measuring quality across non-deterministic outputsExperience with Rust in production or test automation environmentsExperience with performance, reliability, security or adversarial testing of AI-enabled systemsExperience with AI-assisted generation of automated tests or synthetic test dataFamiliarity with Docker, Kubernetes or cloud-based testing environmentsExperience testing cybersecurity, identity, PAM or other security-sensitive softwareExperience building shared automation frameworks or internal testing tools used across engineering teams Benefits Medical, Dental & Vision (inclusive of domestic partnershipsEmployer Paid Life Insurance & Employee/Spouse/Child Supplemental lifeVoluntary Short/Long Term Disability Insurance401K (Roth/Traditional)A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc) 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 letterEmployment history, qualifications, work eligibilityApplication responses and uploaded documents Information We Generate Interview notes, assessments, communicationsScheduling information Information From Others Recruiter/referral information who submit your profileReferences (with your consent, before final offer)Public professional profilesBackground 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). Providing this information is optional and Keeper collects this data in order to comply with EEOC and similar requirements How We Use Your DataAssess your application and suitabilityManage interviews and recruitment workflowConsider you for other/future roles (we may seek your consent to keep your information on our systems beyond the retention period specified)Comply with employment law obligations Legal BasisLegitimate Interests (recruitment management, security and integrity of the hiring process)Contracting steps (for progressed candidates)Legal and regulatory compliance obligations; explicit consent where required Who We Share Information With Internal HR, hiring managers, interviewers*, IT support for system administrationNote - diversity and equal opportunity data is not shared with hiring managers. Third Parties Service providers who assist with: Applicant tracking, recruitment systems and assessment providersBackground verification vendors (post offer)Recruitment agencies (where applicable)Tools to support communication, collaboration and to securely store your data Keeper ensures that all our third parties are contractually bound to protect your personal data with adequate safeguards in place. International Transfers Your data may be accessed by Keeper entities globally as needed for the purposes of hiring and decision making. We protect any such data transfer between Keeper entities using appropriate safeguards under applicable data protection laws. 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 requirementsObject to or restrict processingWithdraw consent (where applicable)Request data portabilityLodge 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