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Lyft

Software Engineer, Async Platform

Seattle, WA$117.8k–$147.2kfull-timemidAdded today

About this role

Lyft is seeking a Software Engineer to build and maintain a highly scalable asynchronous platform using Infrastructure as Code practices. You'll design systems that improve reliability and efficiency while balancing feature velocity with service-level objectives in a collaborative, on-call environment.

What you'll do

  • Monitor and analyze metrics from OS, control planes, and applications for fault detection and performance optimization
  • Design and deploy tooling that enhances platform reliability, scalability, and efficiency
  • Operate and improve infrastructure using industry best practices and automation
  • Balance feature development speed with reliability and SLO targets
  • Participate in design reviews, production readiness assessments, and capacity planning with cross-functional teams
  • Respond to incidents, participate in on-call rotations, and support teams during customer-impacting events

What they're looking for

  • Go, Python, or object-oriented programming languages
  • Large-scale infrastructure and distributed systems design
  • AWS/GCP/Azure cloud environments
  • Message queue systems (SQS, Kafka, Kinesis preferred)
  • Infrastructure as Code and automation
  • Observability and metrics analysis
  • Technical debt reduction and code quality focus
  • Production incident response and troubleshooting

Benefits

  • Medical, dental, and vision insurance with additional programs
  • Mental health benefits
  • Family building, childcare, and pet benefits
  • 401(k) plan with company match
  • Discretionary PTO (salaried) or 15 days PTO (hourly), plus 12 holidays
  • 18 weeks paid parental leave (biological, adoptive, and foster parents)
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Lyft

Lyft develops micromobility hardware solutions including electric bikes and scooters for urban transportation. The company is hiring firmware test engineers and other technical roles to ensure the quality and sustainability of its products.

Website
lyft.com
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Likely interview questions

  • Describe your experience building or maintaining large-scale distributed systems and how you approached reliability challenges.
  • Tell us about a time you automated a repetitive operational task—what was the impact?