Core Services powers the passenger and driver state machines from request and accept through drop-off and payment completion. The team enables new ride variations like autonomous vehicles, taxis, scheduled, business concierge, health and more. The "Core Services" are a suite of distributed Python and Golang systems central to Lyft's backend. As a software engineer on the team, you will work on integrating new rider and driver products and features onto the state machine and enhancing the performance and reliability of ride state transitions. If you are excited about solving back-end distributed systems problems and owning a mission-critical part of Lyft's operations, this team is for you. As a Software Engineer at Lyft, you will collaborate with other engineers and cross-functional teams, such as product, data science, and analytics, to lead and execute large projects-from concept to efficient execution. We are looking for motivated engineers who are passionate about solving challenging technical problems and excited to work in a fast-paced, innovative, and cross-functional environment. In this role, you will tackle some of the most interesting and impactful problems in ridesharing. Key traits for success include being passionate about Lyft's business and product, a quick learner, a collaborative mindset, and an eagerness to drive initiatives both within and across teams. You'll be joining a small, close-knit team with engaged and collaborative co-workers. **Responsibilities:** - Design, develop, deploy, monitor, operate and maintain existing or new elements of the Fulfillment tech stack - Write well-crafted, well-tested, readable, maintainable code - Have a good grasp and ability to explain the various tradeoffs made in decisions - Participate in code reviews to ensure code quality and distribute knowledge - Lead projects from idea to positive execution - Proactively participate in resolving ongoing incidents - Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results - Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices **Experience:** - BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience - 2+ years of software engineering industry experience - Proficiency in object-oriented programming - Experience designing, debugging and running fault-tolerant, highly available, large-scale distributed systems - Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.) - Proficiency in scripting languages to use APIs to automate manual processes - Experience with common CI tools (Jenkins, Buildkite, CircleCI, TeamCity), and proficiency in at least one of those tools - Solid knowledge of distributed systems, relational and NoSQL databases - Ability to communicate in English in writing, meetings, and presentations **Benefits:** - Great medical, dental, and vision insurance options with additional programs available when enrolled - Mental health benefits - Family building benefits - Child care and pet benefits - 401(k) plan with company match to help save for your future - In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off - 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible - Subsidized commuter benefits - Monthly Lyft credits and complimentary Lyft Pink membership This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week 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 Seattle area is $128,000 - $160,000, 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.