Responsibilities
Maintain and analyze metrics from; operating systems; control planes; and applications to assist in fault detection and performance enhancement
Design, develop and deploy tooling and systems that continually improve the reliability, scalability and efficiency of our platform
Balance feature development speed and reliability with service-level objectives
Operate and improve our Infrastructure using industry best practices and tools
Participate in design and production readiness reviews, platform management and capacity planning ceremonies with cross-functional teams
Document Infrastructure operations process and insights, identify repeatable actions and ruthlessly automate repetitive tasks
Participate in our teams on-call rotations, respond to incidents and support other teams mitigate customer impacting events
Experience
5+ years experience working on teams responsible for software development, automation and systems engineering
Ability to create production ready code in one or more high level languages, such as Golang, Python
Prior experience with data streaming, storage and management, particularly DynamoDB, Kinesis, Kafka, SQS, S3, GraphQL, Flink, Hive
Experience operating large scale infrastructure in public cloud environments, such as AWS
Prior infra experience with infra tooling (Terraform, Cloud Formation, Docker, Kubernetes, Ansible, Chef, Puppet etc preferably in an AWS context)
Experience identifying nascent problems, performance bottlenecks and areas for improvement and developing and executing plans to mitigate them
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 with company match 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 and Lyft ride credits
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 $136,000 - CAD $170,000, 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.
