Software Engineer, Data Platforms

At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

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 systems, which are critical to our everyday data-intensive operations. Our systems are used by engineers, scientists and analysts from all LOBs and provide valuable insights to empower critical business decisions and train ML models. The team leverages cutting-edge technologies such as Apache Flink, Beam etc.

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.

We are looking for candidates who 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 any 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.

Responsibilities:

• Design, develop, deploy, monitor, operate and maintain existing or new elements of our 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

• Contribute to 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:

• 3+ years of experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies

• Familiarity with streaming systems like Kafka, Flink, Beam, Spark Streaming, or similar technologies

• Experience working with kubernetes and container technologies (e.g. Docker, cri-o, etc)

• Familiar with a cloud-based environments such as AWS/GCP/Azure

• Comfortable with working in a fast-paced, dynamic environment

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, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.