Software Engineer
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Key skills for this role
About the Role
Lyft is seeking a highly motivated early-career software engineer to join the Govtech team. You will build features for new market entry, regulatory compliance, and AI-enhanced user experiences.
Key Skills for This Role
Responsibilities
- Help establish roadmap and architecture based on technology and understanding of customer needs
- Write well crafted, well tested, readable, maintainable code
- Lead large projects from idea to positive execution
- Unblock, support and communicate with external and internal partners to achieve results
- Participate in code reviews to ensure code quality and distribute knowledge
- Share knowledge by giving brown bags, tech talks, and promoting engineering best practices
Requirements
- Engineering industry experience
- BS/MS in Computer Engineering, Computer Science, or related field, or equivalent work experience
- Experience with object oriented programming
- Experience in distributed systems
- Experience working with databases, relational or NoSQL
- Experience with front end development
- Experience with public cloud platforms (e.g., AWS, GCP, Microsoft Azure)
- Experience with machine learning and building LLM applications
- Proficiency in AI tools
Full Job Posting
Overview
- 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.
- The Govtech team builds rich and creative features that set the standard for the ride sharing industry. We are seeking a highly motivated, early career software engineer to contribute to the development of features that facilitate Lyft's entry into new markets, ensure the company's adherence to loca
Responsibilities
- Help establish roadmap and architecture based on technology and understanding of customer needs
- Write well crafted, well tested, readable, maintainable code
- Can help lead large projects from idea to positive execution
- Unblock, support and communicate with external and internal partners to achieve results
- Participate in code reviews to ensure code quality and distribute knowledge
- Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices
Experience
- Engineering industry experience
- BS/MS in Computer Engineering, Computer Science, or related field, or equivalent work experience
- Experience with object oriented programming
- Experience in distributed systems
- Experience working with databases, relational or NoSQL
- Experience with front end development
- Write clear, scalable and clear design documentation
- Design, build and improve a set of team owned components
- Nice to have: experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.)
- Nice to have: experience with machine learning and building LLM applications
- Nice to have: proficiency in AI tools.
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
- 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
Workplace
- 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.
- Hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.
Compensation
- 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.
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