Job Highlights

AI-extracted key information

The Senior Backend Engineer for the Associate Experience Platform at Lyft will be responsible for designing, developing, and maintaining systems that enhance customer support through innovative technology. This role involves collaborating with cross-functional teams to drive projects from inception to launch while ensuring high-quality code and system reliability.

Salary Range

$148k - $185k/year

Experience Level

Senior Level

Education Requirements

bachelor degree

AI-powered analysis • Data extracted from job description
Lyft logo

Senior Backend Engineer, Associate Experience Platform

LyftSan Francisco, CAEngineering & Technical

Posted 1 weeks ago

Full-Time

Employment Type

Remote

Work Location

$148,000 - $185,000

per year

About This Role

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

5+ years of software engineering industry experience

BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience

Experience In Backend Software Development Of Large-scale Distributed Systems

Understanding of distributed systems concepts and principles (consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms, etc)

Bonus Points

Passionate about improving customer service for the rideshare industry

Experience In Machine Learning Or Llm Post Training.

Experience Working With Contact Center Services, Such As Amazon Connect.

Benefits

Great medical, dental, and vision insurance options with additional programs available when enrolled

Mental health benefits

Family building benefits

Child care and pet benefits

401(k) plan with company match to help save for your future

In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off

18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible

Subsidized commuter benefits

Monthly Lyft credits and complimentary Lyft Pink membership

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.

Compensation

$148,000 - $185,000

Annual salary

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