Senior Software Engineer in Test

• Own end-to-end quality verification and validation for complex systems, from design through production.
• Help shape how verification and validation standards evolve as our engineering model matures.
• Remote-first opportunity for US-based employees, with the option to work in person from our Manhattan office.

Join Zip's Engineering team and put your name to solving fascinating quality challenges at scale in an agile, AI-forward development environment. If you bring a strong quality mindset, deep technical expertise, and a relentless curiosity to uncover edge cases and hidden defects, you'll be a great fit with the squads responsible for building cloud-native software applications that serve millions of customers and process billions of dollars in payments.

In this role, you will partner closely with engineers, design, product managers, and stakeholders to ensure quality is built in, not tested in. Your ability to design comprehensive test strategies, drive root cause analysis, and bring disciplined verification and validation to every release will be critical as Zip's verification & validation organization continues to take shape.

• Apply verification (confirming a system is built right; correct against spec, architecture, and code quality) and validation (confirming it's the right system, that it actually solves the business problem) to everything you test.
• Design and execute comprehensive test strategies with a strong focus on edge cases, failure modes, and real-world scenarios.
• Build and maintain robust, scalable automation frameworks across backend (API, integration testing) and frontend (UI, end-to-end testing).
• Identify gaps in test coverage and system behavior
• Drive root cause analysis and contribute to prevention strategies for defects and incidents.
• Leverage AI-assisted tools throughout the testing lifecycle to accelerate test design, strengthen debugging, and speed up technical problem-solving.
• Apply the same verification and validation rigor to AI- and agent-produced work as to human-written code, as engineering workflows continue to evolve
• Explore practical applications of emerging AI capabilities that improve quality engineering workflows, automate repetitive testing work, and strengthen release confidence.
• Continuously improve test efficiency, reliability, and execution speed.
• Mentor team members and elevate overall quality standards across the team.

• 8+ years of experience in quality engineering, QA automation, or SDET roles, with a proven track record of owning quality for complex, production systems.
• Strong ability to think critically and identify edge cases, failure scenarios, and subtle bugs.
• Deep understanding of testing strategies (unit, integration, E2E, contract, regression).
• Proven experience owning quality for complex production systems.
• Strong programming skills (preferably Type Script, JavaScript, or similar).
• Experience building automation frameworks for backend/API testing and frontend/UI testing (e.g., Browser Stack, Playwright, Cypress, Selenium, Appium).
• Experience with CI/CD integration and test pipelines.
• Familiarity with mocking, stubbing, and test data management.
• Strong debugging and problem-solving skills, with the ability to understand system architecture and identify risk areas.
• A proactive mindset with a focus on prevention over detection.
• Proven experience leveraging AI-assisted development tools across testing, debugging, and technical problem-solving to improve software quality, team productivity, and delivery speed.
• Ability to evaluate and apply emerging AI capabilities to engineering workflows, using sound judgment to ensure quality, security, and maintainability.
• Strong…