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Senior Software Engineer, Community Safety

πŸ“… Aug 27
PythonGoAWSObject-oriented Programming
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πŸ“œ Description

  • Help define technical roadmaps and architecture based on technology and business needs.
  • Lead multi-person projects from idea through execution and align cross-functional teams.
  • Write clear design documentation and scalable, tested, maintainable code.
  • Build robust backend solutions using Python, Go, and AWS.
  • Participate in code reviews and help resolve ongoing incidents.
  • Share expertise through tech talks, mentorship, and engineering best practices.

πŸ› οΈ Requirements

  • BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience
  • 5+ years of software engineering industry experience
  • Extensive experience in object oriented programming, ideally in GoLang or Python
  • Experience in backend software development of large-scale distributed systems and concurrency
  • Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.)
  • Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners

✨ 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
  • Subsidized commuter benefits and Lyft ride credits
  • Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.
Full job description

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 Trust & Safety function at Lyft is dedicated to keeping every Lyft ride safe for both riders and drivers. We build and maintain the tools, features, and systems that deter bad actors, protect vulnerable populations, and reinforce trust across the platform. As an Backend Engineer working on Trust & Safety, you'll work at the intersection of product, design, engineering, and policy to ship high-impact safety features to millions of users.

Responsibilities:

  • Help define the roadmap and architecture based on technology and business needs
  • Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results
  • Lead projects of multiple people from idea to positive execution
  • Write clear, scalable and clear design documentation
  • Write well-crafted, well-tested, readable, maintainable code
  • Utilize your expertise in Python, Golang, AWS to deliver robust and scalable solutions
  • Participate in code reviews to ensure code quality and distribute knowledge
  • Proactively participate in resolving ongoing incidents
  • Share your knowledge through tech talks, mentorship, and evangelizing 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 industry experience
  • Extensive experience in object oriented programming, ideally in GoLang or Python
  • Experience in backend software development of large-scale distributed systems and concurrency
  • Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.)
  • Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners

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 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 β€” 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.

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