To strengthen our efforts, we are hiring a Software Engineer who will work on improving our routing engine, on building cloud-based services that can process millions of route requests per day and on creating workflows to process and analyze the data collected from our rides. For this we are looking for someone who has a strong background in software architecture and algorithms and understands at the same time how to build efficient data processing pipelines.
Our technology stack is based on the latest technologies such as AWS, Kubernetes, Apache Airflow, Flink, and Kafka. We use AI and machine learning to improve development productivity, optimize customer support workflows, and enhance operational efficiency - all without compromising code quality or security. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that delight millions of passengers and drivers.
Responsibilities:- Drive high-impact projects and innovate new solutions to provide the best routing experience possible
- Build and deploy mission critical algorithms and services that can serve millions of requests per day (backend and data-streaming services written in C++, Go, and Python)
- Analyze rides, understand customer pain points, prioritize and size feature requests and help design solutions based on our business needs
- Create a resilient and scalable infrastructure (cloud-based services and workflows) that enables rapid iteration
- Participate in our production on call rotation to maintain our services, ensuring their stability and reliability
Experience:- BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience
- 3+ years of professional software engineering experience
- Extensive experience in object oriented programming, ideally in GoLang, C++, or Python
- Hands-on experience with cloud computing using AWS, GCP or Azure
- Experience with big data processing / distributed data pipelines and tools such as Apache Airflow, Flink, and Kafka
- Excellent communication skills, with the ability to articulate technical concepts clearly to both technical and non-technical audiences while collaborating effectively across teams
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 $108,000 - CAD $135,000, 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.
