As a Infrastructure Engineer at Lyft, you will run our Production Infrastructure by monitoring system availability and take a holistic view of our platform health. You will build software and platforms to automate infrastructure platform operations and management. By measuring and monitoring our operations you will seek opportunities to optimize our systems in order to push our platform forward, anticipating our customers' needs in order to continually improve the platform. You will provide Lyft partner teams with operational support to help them build robust large scale distributed systems.

About the Team

Data Pipelines is at the heart of all critical data flowing through Lyft supporting hundreds of services that impact millions of drivers and passengers every day. Our team's mission is to empower Lyft engineers to self-serve in building and maintaining data pipelines as needed to support products that deliver the world's best transportation experience. We leverage a variety of technologies to store, stream and manage data making it available to our internal customers.
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 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.