Senior Software Engineer, Data Platforms

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

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  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.

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.

Responsibilities:

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.

Experience:

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

Benefits:

Extended health and dental coverage options, along with life insurance and disability benefits

Mental health benefits

Family building benefits

Child care and pet benefits

Access to a Lyft funded Health Care Savings Account

RRSP plan to help save for your future

In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service

Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top‑up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.

Subsidized commuter benefits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin,…