Senior Software Engineer, Lyft

Data Platform - Streaming

$144-180k

AWS
Docker
Kubernetes
GCP
Kafka
Azure
Spark
Flink
Senior level
New York

More information about location

3 days a week in office

Lyft

Ride sharing company

Be an early applicant

Lyft

Ride sharing company

1001+ employees

B2CTravelTransportMobilityRidesharing

Be an early applicant

$144-180k

AWS
Docker
Kubernetes
GCP
Kafka
Azure
Spark
Flink
Senior level
New York

More information about location

3 days a week in office

1001+ employees

B2CTravelTransportMobilityRidesharing

Company mission

To improve people’s lives with the world’s best transportation.

Role

Who you are

  • We are looking for candidates who have prior experience working with near-real time streaming systems, are self starters and have a proven track record of delivering software solutions that can solve critical business needs.
  • The candidate should be able to dive deep into problems with lots of ambiguity and build a technical solution to solve it. They should be willing to take ownership of a project or a feature and be able to drive it from design to implementation
  • Design, develop, deploy, monitor, operate and maintain scalable streaming solutions that constitute our streaming platform
  • Work with technologies such as Apache Kafka, Apache Flink, Apache Beam etc. to enhance our data platform's streaming offerings
  • Collaborate with cross-functional teams to integrate streaming solutions into the broader data architecture
  • Analyze our internal systems and processes and locate areas for improvement/automation
  • Collaborate with product org stakeholders to address and prioritize custom edge cases
  • Help lead large projects from inception to positive execution
  • 5+ years of experience with building, deploying and maintaining low latency, high throughput services
  • Experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies
  • Software engineering industry experience and with distributed streaming solutions like Apache Flink, Apache Samza, Spark streaming etc
  • Experience working with kubernetes and container technologies (e.g. Docker, cri-o, etc)
  • Familiar with a cloud-based environments such as AWS/GCP/Azure

What the job involves

  • We are seeking a talented Software Engineer to join our dynamic Streaming Compute Team. In this role, you'll be instrumental in designing, developing, and maintaining our low latency and high throughput systems, which are critical to a lot of teams like driver, mapping, fraud etc. and almost all ML models at Lyft.
  • Our systems and platform are used for a variety of use cases such as, persisting high volume service events, detecting issues with routes, computing prime-time, creating, storing and serving ML features for training and inference purposes for teams like payments, incentives etc. The majority of our streaming solutions run on Apache Flink and Apache Beam with support from reading and writing to various sources and sinks respectively
  • As a Software Engineer, with your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance the platform offerings. Your work will have a major impact on several areas of the business

Our take

Lyft has aimed for consistent growth, making sure to pitch itself as a more reliable and friendly ride-sharing option than its main competitor, Uber. Uber has a greater market share and operates globally, but Lyft hopes to compete by its focus on ride-sharing over Uber's more diversified business approach and as a more rider-friendly and greener alternative to Uber.

Operating only in the USA and Canada, Lyft is in a position of being less affected by global events than Uber but also more vulnerable to local conditions. As an example, while it doesn't face the regulatory hurdles around employment rights that Uber does, it is unable to balance out the cost of the unusually expensive US auto insurance across its operations.

In 2022, Lyft acquired PBSC Urban Solutions, a bike-share equipment and technology supplier, allowing Lyft to compete in new verticals and reaffirming its commitment to green transportation. It has also trialed and launched Lyft Assisted, where drivers help passengers from their door into the car to get to medical appointments. These developments chime well with Lyft's unique selling point as a friendlier and more environmentally aware ride-sharing app.

Steph headshot

Steph

Company Specialist

Insights

Top investors

Few candidates hear
back within 2 weeks

-2% employee growth in 12 months

Company

Funding (last 2 of 14 rounds)

Jun 2018

$600m

LATE VC

Mar 2018

$200m

LATE VC

Total funding: $4.9bn

Company benefits

  • Great medical, dental, and vision insurance options
  • Mental health benefits
  • In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
  • 401(k) plan to help save for your future
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Pre-tax commuter benefits
  • Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
  • Family building benefits
  • Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Company HQ

China Basin, San Francisco, CA

Leadership

John Zimmer

(Co-Founder)

Originally an Analyst at Lehman Brothers, Zimmer then founded Zimride which was a private ridesharing company that pivoted into Lyft.

Logan Green

(Co-Founder)

Founded Zimride, a private ridesharing company which later pivoted into Lyft.

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