Staff Software Engineer, Risk

OverviewJoin to apply for the Staff Software Engineer, Risk role at Lyft.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.About The TeamThe Risk Tech engineering organization is dedicated to tangibly reducing accident frequency, saving lives, and controlling costs to make rides safer and more affordable. Claim Management is a core financial function for Lyft. Each claim touches complex workflows, multiple stakeholders, sensitive data, reserves, regulatory processes, and large financial liabilities. This role is an opportunity to shape an industry-leading claims management system. Our vision is to establish a single, Unified Risk Platform where end-to-end claims workflows across all business lines are efficiently managed, communications are consolidated, and data is organized for data-driven intelligence. This enables cost-efficient claims operations, drives down risks and costs as Lyft scales, and ensures people receive the help they need quickly and accurately.About The RoleWe are seeking a Staff Software Engineer to set the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers our insurance platform. You will collaborate with colleagues from backend, frontend, data, product, mobile, and operations to deliver end-to-end solutions.ResponsibilitiesDefine and drive the long-term technical roadmap for claims management systems, aligning priorities with Product, Operations, Science, and other stakeholders.Provide architectural leadership, make informed design tradeoffs, and guide strategic platform decisions across multiple engineering teams.Deliver scalable, reliable, and well-tested solutions, writing maintainable code and raising engineering standards.Collaborate closely with internal claims operation teams, external insurance partners, and cross-functional engineering groups to ensure technical alignment and scalable integrations.Drive platform innovation through AI adoption and automation.Mentor team members within and outside of the team.Explain trade-offs and the rationale behind decisions.Lead code reviews, design reviews, production on-call support, and incident triaging processes.Share knowledge by giving brown bags, tech talks, and promoting engineering best practices.ExperienceB.S., M.S. or Ph.D. in Computer Science or related field, or equivalent work experience.8+ years of professional experience building large-scale distributed systems with high availability and observability.Prior experience in insurance, claims management, or workflow orchestration is a strong plus.Proven ability to build end-to-end products and platforms, collaborating with backend, frontend, data, operations, and product teams.Strong ability to reason about trade-offs in system design, architecture, domain modeling, and operational cost.Experience driving AI adoption or automation initiatives to improve operational efficiency.Proficiency in Python; knowledge of React/Next.js is a plus.Experience with data processing frameworks and tools like Spark, Kafka, Airflow and cloud provisioning environments.Strong oral and written interpersonal skills.BenefitsGreat medical, dental, and vision insurance options with additional programs available when enrolledMental health benefitsFamily building benefitsChild care and pet benefits401(k) plan to help save for your futurePaid time off benefitsPaid parental leaveSubsidized commuter benefitsLyft Pink benefitsEqual Opportunity StatementLyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regard 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.Work ArrangementLyft 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. Hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #J-18808-Ljbffr