Senior Software (Backend) Engineer, AI-Powered Developer Productivity (Rider Quality)

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're not doing traditional QA - we're 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.

What you'll accomplish:

• 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.

Experience:

• You have a Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
• You have 5+ years of experience as a software engineer with a strong background in building scalable and reliable systems.
• You have experience with or a strong interest in AI and machine learning, particularly as it applies to software testing and quality assurance.
• You are proficient in Python and/or Go.
• You have an understanding of mo