Software Engineer, Lyft
Ad Infra, Lyft Media
$108-135k
More information about location
3 days a week in office
Ride sharing company
Be an early applicant
Ride sharing company
1001+ employees
Be an early applicant
$108-135k
More information about location
3 days a week in office
1001+ employees
Company mission
To improve people’s lives with the world’s best transportation.
Role
Who you are
- BSc/MSc in Computer Engineering, Computer Science, related field or relevant work experience
- 1–3 years of industry experience in backend or data engineering roles
- Proficiency in at least one backend programming language (e.g., Python, Go, Java)
- Good understanding of distributed systems, microservices, and database design (SQL and NoSQL)
- Exposure to orchestration tools (e.g., Airflow, Prefect) and data distribution technologies (e.g., Kafka, Pub/Sub)
- Experience working with relational and non-relational databases (e.g., PostgreSQL, BigQuery, DynamoDB)
- Experience with Linux
What the job involves
- Lyft is looking for experienced software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched
- As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our riders and drivers
- As a Software Engineer for Lyft Media - you will work on one of Lyft’s newest lines of business focused on building the world’s largest transportation media network
- We build products that allow brands to engage with our unique audience throughout their transportation journeys. For this role we are seeking software engineers who are passionate about backend and data engineering
- You will join our Ad Infra Engineering team and contribute to building the systems and pipelines powering our ad-serving and measurement platform. We work on technologies that let brands engage with our unique audience throughout their transportation journeys
- This role is a great opportunity for an early-career engineer to gain experience working with distributed backend systems and large-scale data workflows, collaborating closely with product, analytics, and data science teams
- Develop and maintain backend systems that support real-time ad serving, campaign management, and reporting
- Design and implement scalable data models to support analytics, targeting, and measurement use cases
- Build and maintain data pipelines that handle ingestion, transformation, and distribution of large volumes of advertising data
- Work with orchestration frameworks (e.g., Airflow) to schedule and monitor reliable, production-grade data workflows
- Collaborate with cross-functional partners to integrate internal and third-party systems via APIs and batch data feeds
- Write clean, maintainable, and testable code following best practices (CI/CD, observability, code reviews)
- Participate in architecture discussions and design reviews with an emphasis on performance and reliability
- Learn and grow through mentorship, documentation, and regular team collaboration
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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