Software Engineer, Detection Engineering

About the role

Lyft connects people to transportation to change the way we live and get around our communities. 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 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. Learn more about some of the things we’ve built on our engineering blog.

Responsibilities

• Help establish roadmaps and prioritize projects based on stakeholders’ needs
• Understand and develop detections related to security events at Lyft
• Write well-crafted, well-tested, readable, and maintainable code
• 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
• Support and improve our existing detection pipelines
• Lead large projects from idea to successful execution
• Unblock, support, and communicate with internal partners to achieve results

Requirements

• 4+ years of software engineering or security engineering industry experience
• Solid experience with a high-level programming language (bonus points for experience with Python, Go-lang, and shell scripts)
• Exposure to database technologies including NoSQL (e.g., DynamoDB, Redis, Elasticsearch, etc.)
• Experience (or deep interest in) working with security systems
• Understanding of computer network security or major computer networking protocols (e.g., TCP/IP, HTTP, TLS, DNS)

Nice to haves

• Experience with Amazon Web Services (AWS) or any other major cloud service provider
• Experience with data analysis, particularly with large datasets (millions of events)
• Kubernetes and container technology experience
• Streaming services (e.g., Apache Kafka, Apache Flink, Amazon Kinesis)

Benefits

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off; hourly team members have 15 days paid time off
• 18 weeks of paid parental leave (biological, adoptive, and foster parents are all eligible)
• Subsidized commuter benefits
• Lyft Pink – exclusive opportunity to test new benefits of our Ridership Program

Schedule

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, Wednesdays, and Thursdays. Hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.

Pay

The expected base pay range for this position in the San Francisco area is $128,000–$160,000. Salary ranges depend on a variety of factors, including qualifications, experience, and geographic location. Range is not inclusive of potential equity offering, bonus, or benefits.