Staff Software Developer in Test, SpyCloud

• 8+ years of experience in software testing and test automation
• Proven experience architecting automation frameworks and applying a well-rounded set of testing practices, including UI, unit, integration, and performance testing. Experience with both traditional approaches and AI-assisted tools is valued
• Experience testing web applications, APIs, and databases, ensuring comprehensive coverage through both manual and automated strategies
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience
• Strong programming skills in languages such as Python, TypeScript, or Golang
• Expertise in automation frameworks, AI-assisted testing tools, and Agile delivery models
• Excellent analytical, problem-solving, and debugging skills
• Excellent communication skills, including presenting AI-driven quality insights to senior stakeholders
• Ability to manage multiple tasks and priorities effectively

Desirable

• The Staff Software Development Engineer in Test (SDET) is a technical and strategic leader who drives the vision, architecture, and implementation of automated testing frameworks and strategies that ensure the highest quality of SpyCloud’s software products
• This role influences quality engineering practices across teams, embeds AI-powered testing capabilities into QA workflows, and leads the adoption of intelligent automation approaches that accelerate delivery
• While collaborating with development, product, and operations teams, you will also evaluate and integrate off-the-shelf AI services to improve testing efficiency
• Architect, design, and lead the development of automated test scripts and frameworks
• Ensure comprehensive test coverage using both traditional automation and AI-powered test generation from product requirements and user stories
• Adopt self-healing automation frameworks that adapt to UI and API changes automatically. Leverage off-the-shelf AI tools (e.g., OpenAI, Anthropic, cloud AI APIs) for data validation and scenario creation
• Define and execute organization-wide AI-enhanced testing strategies, covering functional, regression, performance, and security testing
• Leverage AI tools for risk-based test prioritization, automated defect triaging, and AI-assisted root cause analysis to accelerate resolution times. Establish data-driven QA metrics informed by AI-generated insights
• Collaborate with development, product, and operations teams to ensure AI-driven quality enhancements are integrated early in the lifecycle
• Communicate AI-driven quality improvements, results, and strategic priorities effectively to stakeholders
• Evaluate and recommend emerging AI testing tools that provide clear ROI
• Define the roadmap for scalable, AI-assisted test environments, including synthetic data generation for realistic, privacy-safe testing scenarios
• Integrate AI-powered anomaly detection for proactive environment health checks
• Mentor engineers across multiple teams, including senior engineers, on AI-assisted testing techniques, prompt engineering, and intelligent test design
• Lead company-wide AI-focused quality initiatives. Run workshops on practical AI usage in testing. Foster a culture where AI is used as a practical accelerator rather than an over-complication