We are hiring a Senior Software Engineer to join our
Pickup, Places and Search team within the Mapping organization that is responsible for building, enhancing and maintaining the Rider and Driver product for the Pickup/Drop off Experience. This team supports the backbone of Lyft's search system, supporting millions of rides by helping our riders and drivers connect and reach their destination. Our focus is to ensure the pickup/dropoff experience is seamless by enhancing guidance and routing as well as the rider experience. Additionally the team uses map data and other signals to create new product experiences in collaboration with teams across Lyft. This team has a history of enabling rich and creative features that directly influence the product for all of our users. We constantly innovate and incorporate cutting-edge technologies to make the lives of our community more enriched.
In this role, you'll collaborate with other engineering teams, product, data science, analytics, and operations on programs that empower us to iterate quickly, delighting our passengers and drivers with rideshare focused mapping experiences.
Responsibilities:- Drive high-impact projects and innovate new solutions to provide the best customer experiences
- Lead backend and cross functional projects to achieve long term goals as well as deliver short term roadmaps
- Lead large features from idea to successful execution and launch
- Own systems and components within the team and be accountable for their short term functionality and long term health
- Participate in code and architecture reviews to ensure code quality and distribute knowledge, as well manage call rotations and proactively improving processes
- Write well-crafted, well-tested, readable, maintainable code
- Share your knowledge by giving brown bags, tech talks, mentoring others, and promoting appropriate tech and engineering best practices
Experience:- BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience
- 5+ years of software engineering/production infrastructure industry experience
- Experience designing, debugging and running fault-tolerant, highly available, large-scale distributed systems
- Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.)
- Experience working with databases, relational or NoSQL
- Led a set of components or system from design to launch
- It would be a huge plus to have:
- Proficiency with Go and Python
Benefits:- 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 with company match 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 and Lyft ride credits
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 $136,000 - CAD $170,000, 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.
Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.
This job fills an existing vacancy.
