Quality Engineer

• Curate detailed test plans using AI and build “Master Prompts” for test generation
• Build and maintain automation frameworks and AI agents that enable developers to generate test suites
• Act as Product Owner for the internal suite of AI agents, including tuning, auditing, and context management
• Configure risk-based quality gates that automatically adjust strictness based on code change risk
• Build YAML test data schemas and JSON contract definitions to enable self-service testing
• Diagnose software defects and recommend required action
• Provide general support for production systems and participate in design reviews
• Implement Golden Signals—Latency, Traffic, Errors, and Saturation—for component health
• Contribute to evaluation loops for AI test quality and refine Master Prompts based on output analysis
• Build test strategies for AI-native systems, including model output validation and fallback coverage
• Measure and evaluate the impact of AI cost and latency on test pipeline performance

• Strong knowledge of software QA methodologies, tools, and processes
• Hands-on experience with testing frameworks, such as Groovy/Spock
• Experience writing BDD test plans, such as Gherkin
• Familiarity with CI/CD pipelines, including Jenkins
• Familiarity with internal test libraries
• Experience testing event-driven architectures, including Kafka
• Experience testing RESTful APIs
• Proficiency with observability and monitoring tools, including Splunk, Grafana, New Relic, and Redash
• Experience with AI coding assistants, such as Claude Code, for test generation and automation is a strong plus
• Proficiency in at least one scripting or programming language; coding is mandatory
• Hands-on experience with white-box and black-box testing
• Bachelor's Degree or equivalent practical experience
• Typically 3+ years of relevant experience

• Generous benefits program
• RSU incentive plan
• Annual performance bonus
• Annual compensation reviews
• Career pathing opportunities for continued development