Staff Software Engineer, Lyft

ETA & Routing

$172-215k

SQL
AWS
Kubernetes
Python
Kafka
Bash
Airflow
C++
Spark
Golang
Senior and Expert 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

$172-215k

SQL
AWS
Kubernetes
Python
Kafka
Bash
Airflow
C++
Spark
Golang
Senior and Expert 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 an engineer with proven expertise in system architecture, big-data processing and graph algorithms and experience in building scalable solutions in the cloud environments
  • B.S., M.S. or Ph.D. in Computer Science or related technical field or relevant work experience
  • 8+ years of professional experience building large scale distributed systems with high availability, observability and reliability requirements
  • Proficiency in SQL - able to write structured and efficient queries on large data sets
  • Proficiency in C++, Golang and scripting languages (Python, Bash)
  • Experience working with over-the-wire protocols such as REST, gRPC, protobufs
  • Experience with data processing frameworks and tools like Spark, Kafka, Airflow and cloud provisioning environments etc
  • Strong oral and written interpersonal skills
  • Prior experience in mapping or geospatial domain will be a plus

What the job involves

  • The ETA & Routing team in Mapping is responsible for providing reliable routes and etas for Lyft rides. The team develops and maintains services, ML models and data pipelines used for generating safe, efficient and reliable etas and routes for Lyft’s navigation needs
  • These inputs are used to make best driver and passenger matches, accurate pricing for driver/riders and high quality turn-by-turn navigation guidance for drivers. We achieve this by processing millions of rides, taking into account realtime traffic data, road network information and driver preferences
  • Our technology stack runs on AWS, Kubernetes, Spark and Apache Airflow. In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers
  • Create a long-term high impact technical roadmap for the team in collaboration with engineering, product and science partners
  • Partner cross-functionally in defining product direction, by providing technical insight, inspiration, vision and vetting of ideas
  • Identify, architect, and build the right technical solutions and products to improve the customer experience
  • Write well-crafted, well-tested, readable, maintainable code
  • Have a good grasp and ability to explain the various trade offs made in decisions
  • Lead code reviews, design reviews, production on-call support and incident triaging process
  • Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices
  • Mentor team members within and outside of the team
  • Build scalable data pipelines for our ML stack

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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