At Lyft, the community is what we are and it’s what we do. It’s what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they bring.

Passengers rely on Lyft to get to work, to go to the doctor, or to get home safely when public transit has stopped running. Drivers use Lyft for income and flexibility. Building a stable and reliable application for our passengers and drivers is a responsibility we take very seriously, and we are building out a team of Software Engineers focused on reliability, to deliver a consistent and highly reliable user experience.

The Reliability Software Engineering (RSWE) team works towards standardizing and supporting all of the rapidly growing teams throughout our organization, assessing their architecture, helping them design scalable services, and fostering excellent operational practices. It's a mission-critical role of ensuring that our systems are always healthy, monitored, automated, and designed to scale.

The Marketplace team at Lyft is responsible for the platform that powers the ride experience and is central to Lyft’s business. We are seeking Reliability Software Engineers with a passion for building platforms that enable and empower product teams to iterate fast with the highest reliability. Core components on Lyft’s marketplace of drivers and passengers such as driver dispatch, multi-passenger matching and dynamic pricing depend on mapping services that serve hundreds of billions requests each day, putting drivers and passengers at right locations and reliably predicting travel trajectory using state-of-art offline and real-time machine learning models. In this role, you will collaborate with engineering, product, data science, analytics, and operations on programs that enable us to iterate quickly in delighting our passengers and drivers. You would be supporting and building the platform in our AWS cloud and connecting with our extensive big data infrastructures. You would help Lyft transition into next-generation reliable infrastructure while keeping up with the real-time scale and demand.

Responsibilities:

• Help to define roadmap and architecture based on technology and business needs.
• Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices.
• Build holistic visibility into SLIs, SLOs, SLAs, dependency graphs, past performance of jobs and systems load to bring much-needed clarity to job executions.
• Build infrastructure and drive projects that break things with the aim to improve the production systems.
• Use the core Site Reliability Engineering principles of change management, monitoring, emergency response, capacity planning, and production readiness reviews to run the platform.
• Step back to observe patterns and develop innovative tools and automation to minimize toil. Use those learnings to drive the best operational practices.
• Partner with the broader Lyft organization to build a culture of rigorously learning from incidents.
• Unblock, support and effectively communicate across teams to achieve results.

Experience & Skills:

• Must have 5+ years of software engineering industry experience
• Experience with object-oriented programming
• Experience designing, debugging and running fault tolerant large-scale distributed systems
• Experience working with public cloud platforms (e.g., AWS, Google Cloud Platform, Microsoft Azure, etc.)
• Experience or exposure to Big data infrastructure like Kubernetes is a plus.
• Experience or exposure to streaming infrastructure likeFlink, Kafka, Kinesis is a plus
• Experience or exposure to Machine learning platform is a plus.

Lyft is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Lyft does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Lyft will also consider for employment qualified applicants with arrest and conviction records.