{"schemaVersion":"jobsearcher.job.v1","id":"a5ed48369948914ba1dcae28","url":"https://jobsearcher.com/jobs/a5ed48369948914ba1dcae28","canonicalUrl":"https://jobsearcher.com/jobs/a5ed48369948914ba1dcae28","title":"Senior Software Engineer, Data Platform - Streaming","description":"At Lyft, our mission is to improve people's lives with the world's best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.\nWe are seeking a talented Software Engineer to join our dynamic Streaming Compute Team. In this role, you'll be instrumental in designing, developing, and maintaining our low latency and high throughput systems, which are critical to a lot of teams like driver, mapping, fraud etc. and almost all ML models at Lyft. Our systems and platform are used for a variety of use cases such as, persisting high volume service events, detecting issues with routes, computing prime-time, creating, storing and serving ML features for training and inference purposes for teams like payments, incentives etc. The majority of our streaming solutions run on Apache Flink and Apache Beam with support from reading and writing to various sources and sinks respectively.\nAs a Software Engineer, with your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance the platform offerings. Your work will have a major impact on several areas of the business.\nWe are looking for candidates who have prior experience working with near-real time streaming systems, are self starters and have a proven track record of delivering software solutions that can solve critical business needs. The candidate should be able to dive deep into problems with lots of ambiguity and build a technical solution to solve it. They should be willing to take ownership of a project or a feature and be able to drive it from design to implementation.\nResponsibilities:\nDesign, develop, deploy, monitor, operate and maintain scalable streaming solutions that constitute our streaming platform\nWork with technologies such as Apache Kafka, Apache Flink, Apache Beam etc. to enhance our data platform's streaming offerings\nCollaborate with cross-functional teams to integrate streaming solutions into the broader data architecture\nAnalyze our internal systems and processes and locate areas for improvement/automation\nCollaborate with product org stakeholders to address and prioritize custom edge cases\nHelp lead large projects from inception to positive execution\nExperience:\n5+ years of experience with building, deploying and maintaining low latency, high throughput services\nExperience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies\nSoftware engineering industry experience and with distributed streaming solutions like Apache Flink, Apache Samza, Spark streaming etc.\nExperience working with kubernetes and container technologies (e.g. Docker, cri-o, etc)\nFamiliar with a cloud-based environments such as AWS/GCP/Azure\nBenefits:\n\nGreat medical, dental, and vision insurance options\nMental health benefits\nFamily building benefits\nIn addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off\n401(k) plan to help save for your future\n18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible\nPre-tax commuter benefits\nLyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program\nLyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards 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.\nThis 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, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid\nThe expected base pay range for this position in the San Francisco area is $144,000 - $180,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.","company":"Lyft Drivers","rawCompany":"lyft drivers","city":"Alameda","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-12T21:04:37.984Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Software Engineer, Data Platform - Streaming","description":"At Lyft, our mission is to improve people's lives with the world's best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.\nWe are seeking a talented Software Engineer to join our dynamic Streaming Compute Team. In this role, you'll be instrumental in designing, developing, and maintaining our low latency and high throughput systems, which are critical to a lot of teams like driver, mapping, fraud etc. and almost all ML models at Lyft. Our systems and platform are used for a variety of use cases such as, persisting high volume service events, detecting issues with routes, computing prime-time, creating, storing and serving ML features for training and inference purposes for teams like payments, incentives etc. The majority of our streaming solutions run on Apache Flink and Apache Beam with support from reading and writing to various sources and sinks respectively.\nAs a Software Engineer, with your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance the platform offerings. Your work will have a major impact on several areas of the business.\nWe are looking for candidates who have prior experience working with near-real time streaming systems, are self starters and have a proven track record of delivering software solutions that can solve critical business needs. The candidate should be able to dive deep into problems with lots of ambiguity and build a technical solution to solve it. They should be willing to take ownership of a project or a feature and be able to drive it from design to implementation.\nResponsibilities:\nDesign, develop, deploy, monitor, operate and maintain scalable streaming solutions that constitute our streaming platform\nWork with technologies such as Apache Kafka, Apache Flink, Apache Beam etc. to enhance our data platform's streaming offerings\nCollaborate with cross-functional teams to integrate streaming solutions into the broader data architecture\nAnalyze our internal systems and processes and locate areas for improvement/automation\nCollaborate with product org stakeholders to address and prioritize custom edge cases\nHelp lead large projects from inception to positive execution\nExperience:\n5+ years of experience with building, deploying and maintaining low latency, high throughput services\nExperience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies\nSoftware engineering industry experience and with distributed streaming solutions like Apache Flink, Apache Samza, Spark streaming etc.\nExperience working with kubernetes and container technologies (e.g. Docker, cri-o, etc)\nFamiliar with a cloud-based environments such as AWS/GCP/Azure\nBenefits:\n\nGreat medical, dental, and vision insurance options\nMental health benefits\nFamily building benefits\nIn addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off\n401(k) plan to help save for your future\n18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible\nPre-tax commuter benefits\nLyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program\nLyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards 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.\nThis 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, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid\nThe expected base pay range for this position in the San Francisco area is $144,000 - $180,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.","datePosted":"2026-04-12T21:04:37.984Z","dateModified":"2026-04-12T21:04:37.984Z","hiringOrganization":{"@type":"Organization","name":"Lyft Drivers","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Alameda","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a5ed48369948914ba1dcae28"},"url":"https://jobsearcher.com/jobs/a5ed48369948914ba1dcae28"}}