We are redefining the travel industry with a truly autonomous platform powered by proprietary Agentic AI. As an Automation Engineer, youll play an essential part in building and scaling the testing infrastructure that validates our mission-critical AI workflows. This is a high-scale environment where you will use Cypress to solve unique challenges in autonomous decision-making, collaborating globally to deliver a platform trusted by major enterprises.
What Youll Do:
Architect the Cypress E2E Framework: Design, build, and scale a robust, high-performance end-to-end automation framework using Cypress to validate our core web application workflows, ensuring the complex UI accurately reflects the autonomous decisions made by our AI agents.
Validate Autonomous Logic via the UI: Develop sophisticated test harnesses within Cypress that interact with the application and perform data validation (e.g., intercepting network requests) to verify the intricate decision-making, cost optimization, and safety constraints of our self-governing AI agents.
Drive CI/CD Velocity: Take ownership of the testing lifecycle by integrating fast-running, automated Cypress tests directly into our CI/CD pipelines, serving as the final, reliable gate that allows the engineering team to deploy multiple times daily with zero functional regressions.
Performance and API Testing: Utilize Cypress's capabilities for API-level testing to quickly validate backend microservices, augmenting UI tests where necessary to maintain speed and reliability.
Contribute to Engineering Culture: Champion best practices in testability, reliability, observability, and code coverage, mentoring fellow engineers and fostering a culture of technical excellence across the platform.
Solve Unique Problems: Apply deep technical expertise and creativity to address novel testing challenges related to LLMs, such as ensuring the AI-generated UI flows are robust and predictable.
What Youll Do:
Architect the Cypress E2E Framework: Design, build, and scale a robust, high-performance end-to-end automation framework using Cypress to validate our core web application workflows, ensuring the complex UI accurately reflects the autonomous decisions made by our AI agents.
Validate Autonomous Logic via the UI: Develop sophisticated test harnesses within Cypress that interact with the application and perform data validation (e.g., intercepting network requests) to verify the intricate decision-making, cost optimization, and safety constraints of our self-governing AI agents.
Drive CI/CD Velocity: Take ownership of the testing lifecycle by integrating fast-running, automated Cypress tests directly into our CI/CD pipelines, serving as the final, reliable gate that allows the engineering team to deploy multiple times daily with zero functional regressions.
Performance and API Testing: Utilize Cypress's capabilities for API-level testing to quickly validate backend microservices, augmenting UI tests where necessary to maintain speed and reliability.
Contribute to Engineering Culture: Champion best practices in testability, reliability, observability, and code coverage, mentoring fellow engineers and fostering a culture of technical excellence across the platform.
Solve Unique Problems: Apply deep technical expertise and creativity to address novel testing challenges related to LLMs, such as ensuring the AI-generated UI flows are robust and predictable.
Requirements:
5+ years of experience building and scaling complex testing systems in fast-paced, high-growth, or large-scale environments (open to exceptional candidates with less experience).
Expertise in Cypress.io is mandatory, including building custom commands, plugins, and advanced fixture management for large applications.
Hands-on experience developing and maintaining core automation frameworks at scale using JavaScript/TypeScript.
Strong experience with distributed systems, microservices, and API testing (REST/gRPC), and knowledge of how to integrate backend validations into E2E tests.
Proficiency in cloud platforms (AWS/GCP) and strong experience integrating automation results into continuous delivery pipelines.
Ownership Mentality with a record of delivering production-quality, maintainable test code, and supporting features post-release through monitoring and troubleshooting.
Commitment to Engineering Best Practices in testing methodologies and code quality, scalability, and documentation.
Problem-solving mindset with a passion for tackling technically demanding challenges, especially those related to AI model validation or autonomous workflows.
Domain knowledge in AI/ML testing or the travel industry (flights, bookings, or inventory management) is a strong plus.
Bachelors or Masters degree in Computer Science, Engineering, or related field, or equivalent hands-on experience.
5+ years of experience building and scaling complex testing systems in fast-paced, high-growth, or large-scale environments (open to exceptional candidates with less experience).
Expertise in Cypress.io is mandatory, including building custom commands, plugins, and advanced fixture management for large applications.
Hands-on experience developing and maintaining core automation frameworks at scale using JavaScript/TypeScript.
Strong experience with distributed systems, microservices, and API testing (REST/gRPC), and knowledge of how to integrate backend validations into E2E tests.
Proficiency in cloud platforms (AWS/GCP) and strong experience integrating automation results into continuous delivery pipelines.
Ownership Mentality with a record of delivering production-quality, maintainable test code, and supporting features post-release through monitoring and troubleshooting.
Commitment to Engineering Best Practices in testing methodologies and code quality, scalability, and documentation.
Problem-solving mindset with a passion for tackling technically demanding challenges, especially those related to AI model validation or autonomous workflows.
Domain knowledge in AI/ML testing or the travel industry (flights, bookings, or inventory management) is a strong plus.
Bachelors or Masters degree in Computer Science, Engineering, or related field, or equivalent hands-on experience.
This position is open to all candidates.
