Senior Software Engineer, Rider Quality

About the role

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Our core philosophy is to empower developers to self-serve rather than be bottlenecked by a central quality team. We believe that by creating smart, automated tooling, we can eliminate common roadblocks, making developers happier and more productive. The Rider Quality team is focused on elevating quality, testing, and accessibility across our mobile platforms. We are currently shifting our strategy to heavily leverage automation and AI to revolutionize how we approach testing. We are not doing traditional QA - we are building the future of quality engineering.

This is a chance to step into a Senior role where you won't just write code; you'll design systems that define how hundreds of engineers deliver product faster, happier, and with fewer bugs. We are fundamentally shifting away from manual processes and existing automation frameworks that struggle to keep up, betting heavily on Artificial Intelligence and agentic frameworks to drive a massive "shift left" in our organization. Success in this role is measured by tangible impact, including increased developer satisfaction, engineering hours saved, and bugs/incidents avoided in production. We are seeking a highly skilled and innovative Senior Software Engineer to join our team. You will be instrumental in building the next generation of our quality assurance platform. You will be responsible for designing and developing advanced AI-powered tooling for test case generation, review, and execution. Your work will directly impact our ability to provide fast, actionable feedback to developers, "shifting left" to ensure quality from the earliest stages of development.

You will play a key role in integrating these tools into our existing developer workflows, ensuring seamless adoption and maximum impact. We are looking for someone with a strong background in software engineering who is passionate about automation and can think creatively about how to apply cutting-edge technology to solve complex quality challenges.

• Pave the path: You will be the architect of self-service tooling, creating "paved paths" that eliminate developer friction and bottlenecks. Your work will directly increase the productivity and happiness of our entire mobile engineering organization.
• Be an AI pioneer: You will design, build, and deploy our in-house AI tooling (using Python and Go), tackling complex problems like automatic test case generation, smart test execution, and comprehensive accessibility monitoring from design to production.
• Scale and impact: You will own the strategy for integrating these intelligent systems into the developer workflow, ensuring fast, continuous feedback and ensuring a world-class, accessible experience for every rider.

Responsibilities

• Design, build, and deploy AI-powered tools and agentic frameworks to automate test case generation, review, and execution.
• Create self-service tooling and paved paths that empower developers to own quality and receive fast feedback without waiting on manual processes.
• Integrate new automation tools and workflows into our CI/CD pipeline to provide fast, continuous feedback to engineering teams.
• Collaborate with our QA and Test Automation Engineers to understand current testing challenges and develop automated solutions.
• Architect and implement accessibility testing and monitoring solutions across the entire value stream, from design to production.
• Mentor junior engineers and contribute to a culture of engineering excellence and innovation.
• Work with technologies including Python and Go for tooling development, with an understanding of mobile platforms (Swift and Kotlin) for integration.

Requirements

• You hold a Bachelor's degree in Computer Science, a related field, or have equivalent practical experience.
• You bring 5 or more years of software engineering experience building scalable and reliable systems.
• You demonstrate a strong background or passionate interest in AI and machine learning as applied to testing and quality assurance.
• You are proficient in Python and/or Go, with the ability to write clean, production-grade code.
• You understand mobile development concepts and have experience integrating with native platforms such as Swift and Kotlin.
• You have a proven track record of designing systems that are maintainable, observable, and performant at scale.
• You are comfortable working in a fast-paced environment where priorities evolve based on engineering needs and experimentation.
• You communicate effectively with both technical and non-technical stakeholders to align on goals and tradeoffs.

What you'll do

• Design and build AI-driven tooling to automate test case generation, review, and execution for mobile platforms.
• Create paved paths and self-service toolchains that let developers own quality without waiting on centralized teams.
• Integrate intelligent automation into CI/CD pipelines to deliver continuous, fast feedback to engineering workflows.
• Architect accessibility testing and monitoring solutions that span the entire rider value stream from design to production.
• Collaborate with QA and test automation engineers to understand challenges and co-create scalable automated solutions.
• Mentor junior engineers and contribute to an engineering culture centered on innovation and excellence.
• Work with Python and Go to build robust tooling, while understanding mobile platforms through Swift and Kotlin integration.
• Define strategy for rolling out AI and agentic frameworks to maximize adoption and impact across the organization.

Requirements

• You hold a Bachelor's degree in Computer Science, a related field, or have equivalent practical experience.
• You bring 5 or more years of software engineering experience building scalable and reliable systems.
• You demonstrate a strong background or passionate interest in AI and machine learning as applied to testing and quality assurance.
• You are proficient in Python and/or Go, with the ability to write clean, production-grade code.
• You understand mobile development concepts and have experience integrating with native platforms such as Swift and Kotlin.
• You have a proven track record of designing systems that are maintainable, observable, and performant at scale.
• You are comfortable working in a fast-paced environment where priorities evolve based on engineering needs and experimentation.
• You communicate effectively with both technical and non-technical stakeholders to align on goals and tradeoffs.

Nice to have

Only items specified as preferred in SOURCE are included here, and no additional preferences are added.

Practical notes

This role is based in Toronto, Canada. Engagement details are to be confirmed per source information. No compensation, visa, travel, or deadline information is provided in the source material.