Senior Backend Engineer, Associate Experience Platform

At Lyft, our purpose is to  Serve and Connect . To do this, we start with our own community by creating an open, inclusive, and diverse organization.

The Associate Experience team is at the heart of transforming how Lyft delivers world-class customer support at scale. We're looking for passionate, driven engineers to build the next-generation platform that empowers thousands of customer care agents to deliver exceptional, personalized support experiences. Unlike most companies racing to replace human support with AI, we're building something more sophisticated : a unified platform where agents work alongside AI copilots powered by LLMs, turning complex customer issues into moments of genuine connection that drive long-term loyalty.

The Associate Platform team is responsible for a multi-year infrastructure transformation - consolidating fragmented vendor systems into a homegrown case management platform integrated with intelligent agent copilot capabilities that leverage LLM technology to provide real-time guidance, context, and decision support. You'll be working on challenges that span distributed systems at scale, real-time data streaming, AI / LLM integration, omnichannel vendor platform engineering, agent productivity tooling, and building mission-critical systems that must never fail. This isn't just engineering - it's defining how millions of support interactions happen across chat, voice, and email while pioneering the future of human-AI collaboration in customer support. You'll own critical systems end-to-end, influence product strategy, integrate cutting-edge AI capabilities, and ship infrastructure that directly impacts both agent efficiency and customer satisfaction. If you're excited about solving hard technical problems at the intersection of distributed systems and AI while making a tangible difference in how people experience customer care, this might be the role for you.

Responsibilities :

• Design, develop, deploy, monitor, operate and maintain existing or new elements of our systems and infrastructure
• Collaborate with engineers and partners in science & product to drive projects from inception, specification, execution, or to launch
• Design and own the way real-time data is consumed, stored, and shared with the entirety of Lyft
• Write well-crafted, well-tested, readable, maintainable code
• Participate in code reviews to ensure code quality and distribute knowledge, including Open-Source projects
• Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices

Experience :

Bonus Points :

Benefits :

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the San Francisco area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.