Lyft Verified

Transportation

Software Engineer, Identity

Name: RiseMe
Availability: InStock

RemoteRemoteFull TimePosted 1 month ago

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Required skills

Python
GO
Java
AWS
GCP
Oracle Cloud
MFA
2FA
SSO
OAuth

Nice to have

mentoring engineers

Role summary

Lyft is seeking a Software Engineer for its Identity & Integrity team to build and improve technologies that enhance user safety and enrichment. The role involves designing and enhancing login/signup experiences, including MFA, verification funnels, session management, and SSO. Responsibilities include acting as a frontline defense against fraud and phishing, scaling core identity microservices, and developing solutions for account security challenges. The engineer will write maintainable code, promote best practices, implement security protocols, and collaborate with cross-functional teams. A minimum of 3 years of experience in stacks like Python, GO, or Java, and experience with cloud providers like AWS, GCP, or Oracle Cloud are required.

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 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

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 — 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.

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