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We are looking for experienced backend software engineers to join our Risk Tech engineering team. Our vision is to tangibly reduce risk on the Lyft platform, and build the best tools and workflows for both internal and external parties to collect and report accident details quickly, accurately, and comprehensively and provide people with the help they need. Our team is dedicated to establishing a single, Unified Risk Platform where the end to end claim workflows across all teams/business lines are efficiently managed, all communications are consolidated, all data is organized for data-driven intelligence, which enables a cost efficient claim operation at individual and overall program levels, and ultimately drive down risks and cost as Lyft businesses scale.
Responsibilities:
- Design, develop, deploy, monitor, operate and maintain existing or new elements of our Risk Tech suite
- Own feature from product spec to successful high quality development, deployment and maintenance
- Write well-crafted, well-tested, readable, maintainable code
- Participate in code reviews to ensure code quality and distribute knowledge
- Incorporate considerations for business context and failure modes in your work
- Unblock, support and communicate with stakeholders to achieve results
- Participate in our teams on-call rotations, respond to incidents and support other teams mitigate customer impacting events
- 4+ years of relevant professional experience
- Experience with object-oriented programming
- Experience in distributed systems
- Experience defining API schemas and developing backend services in a microservices environment
- Experience working with databases, relational or NoSQL
- Experience writing clear and scalable design documentation
- When facing a problem that's poorly defined or outside of your expertise, you can quickly learn what you need to dig in, make sense of the problem, and start working towards a solution
- You're a great communicator, and can advocate for your proposals while also empathizing with your teammates' goals and priorities
- You have a history of going out of your way to help out your fellow engineer to make them more productive
- You collaborate well with a geographically distributed team
- [Bonus] Experience with Frontend/Fullstack development (React or similar)
- Extended health and dental coverage options, along with life insurance and disability benefits
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- Access to a Lyft funded Health Care Savings Account
- RRSP plan to help save for your future
- In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
- Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
- Subsidized commuter benefits
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 at least 3 days per week, including 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 Toronto area is CAD $88,000 - CAD $110,000 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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