[Hiring] Senior Software Development Test Engineer @Keeper Security

Role 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.

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. You will help design testing approaches that account for this variability while still establishing measurable quality, reliability and safety standards.

Responsibilities

• Partner directly with AI engineers, Software Engineers and Product Managers during design and development to 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 testing strategies for both deterministic software behavior and non-deterministic AI/ML outputs.
• Define measurable 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 different models, prompts, inputs and system configurations.
• Develop automated test utilities using languages such as Python, Java, JavaScript/TypeScript, Rust or similar technologies.
• Integrate automated validation and quality gates into CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI or similar platforms.
• Build and maintain test datasets, mocks, fixtures and synthetic data required for repeatable AI and software validation.
• Analyze model and application failures to distinguish defects, expected model variability, data issues and test instability.
• Evaluate AI outputs for reliability, consistency, safety and alignment with expected product behavior.
• Work with engineering teams to improve application testability, observability and diagnostic capabilities.
• Track test cases, execution results and coverage using TestRail or similar test management platforms.
• Analyze logs, telemetry and system behavior to identify root causes and produce clear, reproducible defect reports.
• Reduce flaky tests and improve the speed, stability and maintainability of automated test suites.
• Contribute to quality engineering standards, AI testing methodologies and automation best practices across Keeper’s AI organization.
• Use AI-assisted tools such as Claude, ChatGPT, GitHub Copilot or similar platforms to improve automation development, test generation, debugging, analysis and documentation.

Qualifications

• 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 the differences between 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 tools such as 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.
• Due 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 workflows.
• Experience building automated model evaluation, benchmarking or regression frameworks.
• Familiarity with AI evaluation metrics and techniques for measuring quality across non-deterministic outputs.
• Experience with Rust in production or test automation environments.
• Experience with performance, reliability, security or adversarial testing of AI-enabled systems.
• Experience with AI-assisted generation of automated tests or synthetic test data.
• Familiarity with Docker, Kubernetes or cloud-based testing environments.
• Experience testing cybersecurity, identity, PAM or other security-sensitive software.
• Experience building shared automation frameworks or internal testing tools used across engineering teams.

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).