Senior Software Engineer, Data Pipelines

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.

The Infrastructure team is passionate about building software to solve problems at massive scale.

As a Senior Software Engineer, Data Pipelines at Lyft, you will run our Production Infrastructure by monitoring system availability and taking 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.

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 processes and insights, identify repeatable actions, and ruthlessly automate repetitive tasks
• Participate in our team's on-call rotations, respond to incidents, and support other teams in mitigating customer-impacting events

Experience:

• 5+ years of 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 experience with infrastructure 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.
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs.
• Subsidized commuter benefits and Lyft ride credits