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Benefits & Perks
•Health benefits
•Stock options
•Salary and bonus
•401(k) matching
•CPA reimbursement
•Healthcare
•Equity
Required Skills
Oracle
SAP
Adaptive Insights
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:
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Define and drive the long-term technical roadmap for claims management systems, aligning priorities with Product, Operations, Science, and other stakeholders.
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Provide architectural leadership, make informed design tradeoffs, and guide strategic platform decisions across multiple engineering teams.
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Deliver scalable, reliable, and well-tested solutions, writing maintainable code and raising engineering standards
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Collaborate closely with internal claims operation teams, external insurance partners, and cross-functional engineering groups to ensure technical alignment and scalable integrations.
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Drive platform innovation through AI adoption and automation.
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Mentor team members within and outside of the team
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Have a good grasp and ability to explain the various trade offs made in decisions
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Lead code reviews, design reviews, production on-call support and incident triaging process.
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Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices
Experience:
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B.S., M.S. or Ph.D. in Computer Science or related technical field or relevant work experience
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8+ years of professional experience building scale distributed systems with high availability, observability and reliability requirements
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Prior experience in insurance, claims management, or workflow orchestration is a strong plus.
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Proven ability to build end-to-end products and platforms, collaborating effectively with backend, frontend, data, operations, and product teams.
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Strong ability to reason about tradeoffs in system design, architecture, domain modeling, and operational cost.
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Prior experience in Insurance, Claims management, Workflow orchestration is a strong plus.
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Experience driving AI adoption or automation initiatives to improve operational efficiency.
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Proficiency in Python. Knowledge of React/Next.js is a plus.
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Experience with data processing frameworks and tools like Spark, Kafka, Airflow and cloud provisioning environments etc
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Strong oral and written interpersonal skills
Benefits:
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Great medical, dental, and vision insurance options with additional programs available when enrolled
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Mental health benefits
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Family building benefits
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Child care and pet benefits
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401(k) plan to help save for your future
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In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
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18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
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Subsidized commuter benefits
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Lyft Pink
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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.
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About Lyft

Lyft
PublicLyft, Inc. is an American company offering ride-hailing services, motorized scooters, and bicycle-sharing systems in the United States and Canada, and, via its Free Now mobile app, Europe. Lyft is the second-largest ridesharing company in the United States after Uber.
1,001-5,000
Employees
San Francisco
Headquarters
$3.2B
Valuation
Reviews
2.7
10 reviews
Work Life Balance
3.8
Compensation
2.1
Culture
2.3
Career
2.0
Management
1.8
25%
Recommend to a Friend
Pros
Flexible scheduling and work-from-home options
Easy money and side hustle opportunities
Meet new people with good conversations
Cons
Unfair pay structure and low compensation
Easy deactivation based on rider complaints
Poor customer support for drivers
Salary Ranges
29 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
1 reports
$146,004
total / year
Base
$126,960
Stock
-
Bonus
-
$146,004
$146,004
Interview Experience
5 interviews
Difficulty
4.0
/ 5
Duration
14-28 weeks
Offer Rate
100%
Experience
Positive 60%
Neutral 40%
Negative 0%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview/Take-home Challenge
5
System Design Interview
6
Onsite/Virtual Interviews
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
News & Buzz
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