Lead SDET

About Loop
Loop AI is a San Francisco-based tech company founded in 2022. We provide a Delivery Intelligence Platform for data-driven digital food brands, helping them optimize operations and make informed decisions. Loop is at the forefront of innovation in the food-tech sector. At Loop, we value a growth mindset, passion for startups, product curiosity, and a hunger for continuous learning. We believe that the collaborative spirit among our peers is the lifeblood of our startup.

Role Overview

We are seeking a highly motivated and experienced Lead Software Development Engineer in Test (SDET) to join our engineering team at LoopAI. This is a unique 0→1 opportunity to define, architect, build, and scale the entire Quality Assurance and SDET infrastructure from the ground up. The ideal candidate is a thought leader who can architect and execute robust automation solutions, establish best practices, and directly impact product quality and delivery speed.

Responsibilities:

• Design, develop and maintain robust end-to-end automation for core web flows (UI Automation) and critical business processes (API Integration tests), ensuring high reliability and rapid feedback
• Define and implement key engineering quality metrics (e.g., test coverage, defect escape rate, automation ROI) and establish best practices for writing, maintaining, and scaling test suites across the organization
• Write, execute, and debug automated test cases to validate new features, existing functionalities, and regression scenarios
• Integrate automation tests into the Continuous Integration/Continuous Deployment (CI/CD) pipeline

Quality Assurance & Strategy:

• Collaborate closely with development and product teams to understand product requirements and technical designs
• Develop comprehensive test plans and test strategies for complex features and systems
• Analyze test results, identify and report defects, and track them through to resolution

Tooling and Improvement:

• Act as the subject matter expert in test automation, driving the adoption of best practices, especially leveraging GenAI tooling to improve test creation, maintenance, and data generation.
• Identify opportunities for process and testing efficiency improvements, and develop tools or scripts to address them
• Stay current with new testing technologies, tools, and industry trends, and drive their adoption where appropriate
• Participate in code reviews and contribute to the overall software quality process

Qualifications

• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
• Experience: At least 8+ to 13 years of experience as an SDET, Test Automation Engineer, or similar role
• Automation Frameworks: Hands-on experience designing and implementing test automation frameworks using tools like Selenium and Appium for UI
• Programming Proficiency: Strong proficiency in at least one modern programming language (e.g., Python, Go, JavaScript/TypeScript, Java, C#).API Testing: Expertise in testing REST/SOAP APIs using tools like Postman, Rest Assured, or equivalent
• CI/CD: Experience integrating automated tests into CI/CD pipelines (e.g., Jenkins, GitHub Actions)
• Databases: Solid understanding of database concepts and proficiency in writing SQL queries for data validation
• Testing Methodologies: Deep knowledge of software development life cycles (SDLC) and various testing methodologies (e.g., Agile, Scrum, BDD/TDD)
• Version Control: Proficient with Git and standard code management practices

Desired Skills (Plus Points)

• Experience with performance and load testing tools (e.g., JMeter, Locust, Gatling)
• Familiarity with containerization technologies (e.g., Docker, Kubernetes)
• Experience testing cloud-native applications (e.g., GCP)

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.