招聘
Required Skills
Security engineering
Programming
Database technologies
Network security
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.
Lyft connects people to transportation to change the way we live and get around our communities. Lyft’s engineering team is growing rapidly, and we are looking for Software Engineers with a passion in Security to help us scale. Come be part of the Security team at Lyft focused on enabling and empowering engineering teams to deliver secure services at scale.
Our drivers and passengers entrust Lyft with their personal information and travel details to get where they're going and expect us to keep that data safe. Lyft's security team leads efforts across the company to ensure our systems are secure and worthy of our users' trust.
Lyft Security builds systems to protect and defend infrastructure. We consult with teams as they build and launch new products and features, proactively plan for the unexpected, and respond to incidents that occur. Our work has company wide impact and takes place at all levels of the stack, from infrastructure to web application security, as well as mobile apps, IT, bikes and scooters. We believe in scaling security through engineering fundamentals, automation, and tooling. Check out our blog posts at https://eng.lyft.com/tagged/security to learn more about some of the things we’ve built.
Detection Engineering owns ingestion of security related events, identification of anomalies, and produces insights to stakeholders across the business.
Responsibilities:
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Help establish roadmaps and prioritize projects based on stakeholders’ needs
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Understand and develop detections related to security events at Lyft
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Write well-crafted, well-tested, readable, and maintainable code
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Participate in code reviews to ensure code quality and distribute knowledge
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Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices
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Supporting and improve our existing detection pipelines
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Lead large projects from idea to successful execution
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Unblock, support and communicate with internal partners to achieve results
Experience:
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3+ years of software engineering and security engineering industry experience
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Solid experience with a high level programming language (bonus points for experience with Python, Go-lang and shell scripts)
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Exposure to Database technologies including NoSQL (e.g., DynamoDB, Redis, Elasticsearch, etc.)
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Experience (or deep interest in) working with security systems
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Understanding of computer network security or major computer networking protocols (e.g. TCP/IP, HTTP, TLS, DNS).
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Nice to haves:
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Experience with Amazon Web Services (AWS) or any other major cloud service provider
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Kubernetes and container technology experience
Please submit your resume in English.
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About Lyft

Lyft
PublicLyft, Inc. is an American company offering ride-hailing services, motorized scooters, and bicycle-sharing systems in the United States and Canada, and, via its Free Now mobile app, Europe. Lyft is the second-largest ridesharing company in the United States after Uber.
1,001-5,000
Employees
San Francisco
Headquarters
$3.2B
Valuation
Reviews
2.7
10 reviews
Work Life Balance
3.8
Compensation
2.1
Culture
2.3
Career
2.0
Management
1.8
25%
Recommend to a Friend
Pros
Flexible scheduling and work-from-home options
Easy money and side hustle opportunities
Meet new people with good conversations
Cons
Unfair pay structure and low compensation
Easy deactivation based on rider complaints
Poor customer support for drivers
Salary Ranges
29 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
1 reports
$146,004
total / year
Base
$126,960
Stock
-
Bonus
-
$146,004
$146,004
Interview Experience
5 interviews
Difficulty
4.0
/ 5
Duration
14-28 weeks
Offer Rate
100%
Experience
Positive 60%
Neutral 40%
Negative 0%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview/Take-home Challenge
5
System Design Interview
6
Onsite/Virtual Interviews
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
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