Software Engineer

Lyft

Job title:

Software Engineer

Company

Lyft

Job description

At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.The Identity & Integrity organization is looking for software engineers. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched and safe. As an engineer at Lyft, you’ll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers.As a Software Engineer in the Identity team, your primary responsibilities will encompass:Lyft’s Login & Signup Experiences:

  • Design and enhancement of our Multi-factor authentication (MFA) experiences.
  • Optimization of verification funnels, including:
  • Phone-based two-factor authentication (2FA)
  • Email verification
  • Identity provider single sign-ons (SSO)
  • Overseeing session management and device validation.
  • Developing OAuth client provisioning and related tooling.

Account Security:

  • Act as the frontline defense against fraudsters and phishers aiming to exploit rider and driver accounts through product vulnerabilities.
  • Implement strategies to counteract risks posed by social engineering tactics.

Scaling Core Services:

  • Lead the maintenance and optimization of core microservices under the Identity team’s purview, essential to Lyft’s diverse service offerings.
  • Manage organizational structures and multi-user management systems. (RBAC, family accounts, AuthZ)

Design solutions for high-stakes challenges such as:

  • Preventing unauthorized driving.
  • Thwarting abuse related to recycled phones and their numbers.
  • Striking a balance between stringent customer verification and ensuring minimal user friction.

Responsibilities

  • Write well-crafted, well-tested, readable, maintainable code
  • Promote appropriate tech and engineering best practices
  • Implement identity and security protocols to secure and protect Lyft users data at scale
  • Partner with teams across Lyft on identity and account security initiatives
  • Unblock, effectively communicate, and obtain buy-in across teams to achieve results
  • Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices

Experience

  • 3+ years of engineering experience working in any of these stacks; Python, GO, Java, etc.
  • Experience with cloud service providers like Amazon Web Services (AWS), Google Cloud(GCP), Oracle Cloud, etc
  • Able to write clear, scalable and clear design documentation
  • Relevant experience mentoring engineers on the team

Benefits:

  • Extended health and dental coverage options, along with life insurance and disability benefits
  • Mental health benefits
  • Family building benefits
  • Access to a Health Care Savings Account
  • In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service
  • 4 Floating Holidays each calendar year prorated based off of date of hire
  • 10 paid sick days per year regardless of province
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible

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, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.The expected base pay range for this position in the Toronto area is $98,400 – $135,000. 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.

Expected salary

$98400 per year

Location

Toronto, ON

Job date

Sun, 08 Dec 2024 04:18:27 GMT

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