Job Highlights

AI-extracted key information

The Staff Software Engineer, Risk at Lyft is responsible for setting the technical direction and leading the development of a scalable and intelligent Risk Management Information System. This role involves collaboration with various teams to deliver end-to-end solutions and drive platform innovation through AI adoption and automation.

Salary Range

$176k - $220k/year

Experience Level

Senior Level

Education Requirements

bachelor degree

AI-powered analysis • Data extracted from job description
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Staff Software Engineer, Risk

LyftSan Francisco, CAEngineering & Technical

Posted 1 weeks ago

Full-Time

Employment Type

Remote

Work Location

$176,000 - $220,000

per year

About This 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.

About The Team

The Risk Tech engineering organization is dedicated to tangibly reducing accident frequency, saving lives, and controlling costs to make rides safer & 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 Role

We 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 passionate colleagues from backend, frontend, data, product, mobile, and operations to deliver end-to-end solutions.

Responsibilities

Define 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

Have a good grasp and ability to explain the various trade offs made in decisions

Lead code reviews, design reviews, production on-call support and incident triaging process.

Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices

Experience

B.S., M.S. or Ph.D. in Computer Science or related technical field or relevant work experience

8+ years of professional experience building scale distributed systems with high availability, observability and reliability requirements

Prior experience in insurance, claims management, or workflow orchestration is a strong plus.

Proven ability to build end-to-end products and platforms, collaborating effectively with backend, frontend, data, operations, and product teams.

Strong ability to reason about tradeoffs in system design, architecture, domain modeling, and operational cost.

Prior experience in Insurance, Claims management, Workflow orchestration is a strong plus.

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 Etc

Strong oral and written interpersonal skills

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 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

Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

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 $176,000 - $220,000 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

$176,000 - $220,000

Annual salary

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