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Software Development Test Engineer, AI & Automation
Keeper Security, Inc.. Serve as an embedded quality engineering partner within Keeper’s AI team .
Core Competencies
Role fitCore 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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesCloudCyber 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)