Senior Software Engineer, Lyft
Data Platforms
$136-170k
More information about location
3-5 days a week in office
Ride sharing company
Be an early applicant
Ride sharing company
1001+ employees
Be an early applicant
$136-170k
More information about location
3-5 days a week in office
1001+ employees
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 with near-real-time streaming systems, are self-starters, and have a proven track record of delivering high-quality software solutions that solve critical business needs
- The candidate should be able to dive deep into problems with lots of ambiguity, leading architectural design and building robust, well-tested technical solutions
- They should be willing to take complete ownership of a project or a feature, able to drive it from design and implementation through to operational excellence, while also mentoring others, improving team engineering practices, and collaborating effectively with partners
- 5+ years of experience with building, deploying and maintaining low latency, high throughput services
- 5+ years of experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies
- 3+ years of software engineering industry experience and with distributed streaming solutions like Apache Flink, Beam, Spark streaming, Streaming SQL 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, you will lead the team’s projects and initiatives seeing them to completion. You will be responsible for key systems and components within the team. You will identify and lead the efforts in improving architecture and operations for the team
- Design, develop, deploy, monitor, operate and maintain scalable streaming solutions that constitute our streaming platform
- Work with technologies such as Apache Kafka, Flink, 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
- Operate a real-time streaming platform with high availability and low downtime to meet the demands of latency-sensitive workloads
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
Company Specialist at Welcome to the Jungle
Insights
-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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