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.
We are seeking a Software Engineer to join the Localization team, responsible for processing all GPS signals of our users to better understand their location. The team owns the services and infrastructure that map-matches in real-time to connect drivers and riders and to provide a location aware guidance experience for our users. Additionally the team processes location data at the end of the ride to produce the distance and time that a driver spent on the ride. The team is also responsible for the toll traversals of our drivers and ensuring accurate toll payments for them. Overall the team is very technical and goes deep into problems to ensure we deliver high quality experiences to our customers. Localization is a critical function for Lyft, and in this role you will be helping to ensure the reliable operations of services that are crucial for Lyft.
We are looking for an engineer with proven expertise in system architecture, microservices, and big-data processing and experience in building scalable solutions in the cloud environments. Additionally we are looking for someone with experience and interest in mapping, map-matching, HMMs, and Kalman filters.
Our technology stack runs on AWS, Kubernetes, Python, Go, C++. In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers.
Responsibilities:- Lead large features from idea to positive execution and launch
- Write well-crafted, well-tested, readable, maintainable code
- Participate in code reviews to ensure code quality and distribute knowledge, as well as on call rotations
- Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices
- Unblock, support and communicate with internal partners to achieve results
- Utilize your expertise in Python, Golang, AWS, C++ and SQL to deliver robust and scalable solutions.
- BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience
- 3+ 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 from design to launch
- Interest and experience with Map matching, Kalman filters and HMMs.
- Interest in Mapping technologies
If you are a seasoned engineer with a passion for innovation, microservices, and possess the skills to ensure the ongoing maintenance and improvement of services, we invite you to join our dynamic team. Apply now to be part of an exciting journey in the world of mapping technology.
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 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 is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.
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 Toronto area is CAD $108,000 - CAD $148,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
