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Keeper Security, Inc.

Software Development Test Engineer, AI & Automation

Keeper Security, Inc.

. Serve as an embedded quality engineering partner within Keeper’s AI team .

Posted 10/8/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in automated testing frameworks, AI/ML validation strategies, and CI/CD integration, with a strong focus on quality assurance in AI-driven applications. Proficient in programming languages such as Python and Java, alongside a solid understanding of shift-left testing and continuous quality principles.

Highest-signal resume keywords
Automated Testing Framework DevelopmentAI/ML Validation StrategiesCI/CD IntegrationTest Management with TestRailProgramming in Python, Java, or JavaScript/TypeScript

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Automated TestingTest Strategy DefinitionAI/ML TestingRegression TestingIntegration TestingAPI TestingTest AutomationDebugging and TroubleshootingEvaluation Criteria DefinitionTest Coverage Analysis
Soft Skills
Analytical SkillsProblem-Solving SkillsWritten CommunicationVerbal CommunicationCollaboration
Tools & Technologies
PostmanREST AssuredGitHub ActionsJenkinsGitLab CITestRailDockerKubernetesAI-Assisted ToolsCI/CD Pipelines
Industry Keywords
AI Testing MethodologiesShift-Left TestingContinuous QualityModel EvaluationPerformance TestingSecurity TestingCybersecurity SoftwareAgentic SystemsRetrieval-Augmented GenerationSynthetic Test Data

Tech Stack

Tools & technologies
CloudCyber SecurityDockerJavaJavaScriptJenkinsKubernetesPythonRustTypeScript

About the role

Key responsibilities & impact
  • Serve as an embedded quality engineering partner within Keeper’s AI team
  • Work alongside engineers and Product throughout design and development
  • Define test strategy, acceptance criteria and automation requirements
  • Design and maintain automated testing frameworks for AI-powered applications, backend services, APIs and supporting software systems
  • Develop deterministic and probabilistic validation strategies for AI/ML outputs
  • Define evaluation criteria, tolerances and quality thresholds for AI model and LLM-driven functionality
  • Build automated regression, integration, API and end-to-end coverage alongside feature development
  • Develop test harnesses and evaluation workflows for prompts, models, agents, tool-calling workflows and AI-integrated applications
  • Validate AI behavior across models, prompts, inputs and system configurations
  • Integrate automated validation and quality gates into CI/CD pipelines
  • Build and maintain test datasets, mocks, fixtures and synthetic data
  • Analyze model and application failures and produce clear, reproducible defect reports
  • Evaluate AI outputs for reliability, consistency, safety and alignment with expected product behavior
  • Improve application testability, observability and diagnostic capabilities
  • Track test cases, execution results and coverage using TestRail or similar platforms
  • Reduce flaky tests and improve speed, stability and maintainability of automated test suites
  • Contribute to AI testing methodologies and automation best practices
  • Use AI-assisted tools to improve automation development, test generation, debugging, analysis and documentation

Requirements

What you’ll need
  • 5+ years of experience in SDET, software development, test automation or another code-intensive quality engineering role
  • Hands-on experience testing AI/ML, LLM-powered or model-integrated software systems
  • Strong understanding of deterministic software testing and non-deterministic AI/ML validation
  • Experience defining evaluation criteria, expected behaviors, tolerances or scoring approaches for AI-driven functionality
  • Strong programming skills in Python, Java, JavaScript/TypeScript, Rust or another general-purpose programming language
  • Significant experience designing, developing and maintaining automated test frameworks
  • Experience building automated functional, integration, API and end-to-end test coverage
  • Experience testing REST APIs and distributed application workflows using Postman, REST Assured or similar platforms
  • Experience integrating automated tests into CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI or similar technologies
  • Experience working within an Agile software development team with close collaboration between QA, Engineering and Product
  • Strong understanding of shift-left testing, continuous quality and testability principles
  • Experience with TestRail or similar test management platforms
  • Strong debugging and troubleshooting skills using logs, APIs, application telemetry and development tools
  • Experience with Git-based development workflows, code review and modern software engineering practices
  • Familiarity with AI-assisted development and testing tools such as Claude, ChatGPT, GitHub Copilot or similar technologies
  • Strong analytical and problem-solving skills with the ability to evaluate variable AI behavior without relying solely on exact-match outcomes
  • Strong written and verbal communication skills and ability to collaborate closely with AI engineers, Software Engineers, Product Managers and QA professionals
  • Bachelor’s degree in Computer Science, Engineering or a related technical field, or equivalent practical experience
  • Qualified candidates must be a U.S. Person, defined as a U.S. citizen or lawful permanent resident
  • Preferred: experience testing LLMs, agentic systems, retrieval-augmented generation, tool calling or prompt-driven workflows
  • Preferred: experience building automated model evaluation, benchmarking or regression frameworks
  • Preferred: familiarity with AI evaluation metrics and techniques for measuring quality across non-deterministic outputs
  • Preferred: experience with Rust in production or test automation environments
  • Preferred: experience with performance, reliability, security or adversarial testing of AI-enabled systems
  • Preferred: experience with AI-assisted generation of automated tests or synthetic test data
  • Preferred: familiarity with Docker, Kubernetes or cloud-based testing environments
  • Preferred: experience testing cybersecurity, identity, PAM or other security-sensitive software
  • Preferred: experience building shared automation frameworks or internal testing tools used across engineering teams

Benefits

Comp & perks
  • 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)