Software Engineer, Data Platform

At Lyft, our mission is to improve people’s lives with the world’s best transportation. To achieve this, we begin with our own community by building an open, inclusive, and diverse organization. The Data Orchestration team within the Data Platform is responsible for managing orchestration engines such as Airflow and Flyte, which power and expedite data pipelines and machine learning processes at the scale required by Lyft products. These components cater to a variety of applications, including but not limited to Core Dataset, Financial Infra, Pricing, Estimated Time of Arrivals (ETA), and Mapping. The team's clusters accommodate and serve thousands of workflows and over 100,000 executions daily. As a Software Engineer, you will use your technical expertise to manage project priorities, deadlines, and deliverables. Your tasks will include the design, development, testing, deployment, and enhancement of the platform offerings. Your work will significantly impact several areas of the business. We are searching for candidates who have proven their competence through successful software solution deliveries that address critical business requirements. The candidate should be capable of dissecting complex problems with a high degree of ambiguity and establishing a technical solution to resolve them. They should be willing and able to take ownership of a project or a feature, and drive it from design to implementation. Responsibilities: - Design, develop, deploy, monitor, operate, and maintain existing or new elements of our platform - Help devise roadmap and architecture considering technology and our needs - Write well-structured, well-tested, readable, maintainable code - Analyze our internal systems and processes and identify areas for improvement/automation - Collaborate with product organizational stakeholders to address and prioritize custom edge cases - Lead large projects from start to successful execution - Unblock, support and communicate with internal partners to achieve desired results Experience: - 3+ years of software engineering industry experience and with data structures/algorithms - 2+ years of experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with data infrastructure - Experience working with Kubernetes and container technologies (e.g. Docker, cri-o, etc) - Familiarity with cloud-based environments like AWS/GCP/Azure Benefits: - Competitive medical, dental, and vision insurance options - Mental health benefits - Family building benefits - In addition to 12 observed holidays, salaried team members have unlimited paid time off, while hourly team members receive 15 days paid time off - 401(k) plan for future savings - 18 weeks of paid parental leave for biological, adoptive, and foster parents - Pre-tax commuter benefits - Lyft Pink - Exclusive opportunity for Lyft team members to test new benefits of our Ridership Program Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state, and local law. Starting September 2023, this role will have a hybrid schedule — team members are expected to work in the office three days per week on Mondays, Thursdays, and a team-specific third day. Further, hybrid roles have the flexibility to work from anywhere for up to four weeks per year. Applicants for this role must be based in the Seattle metro area. The salary range expectation for this position in the Seattle area is $103,785 - $165,600. The range depends on several factors, including qualifications, experience, and geographic location. The range does not include potential equity offering, bonus, or benefits. Your recruiter can provide more details about the salary range specific to your location and other factors during the hiring process.