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Staff Software Engineer-Data Platform

Lyft

Lyft

Software Engineering
New York, NY, USA
Posted on Monday, May 20, 2024

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.

We are seeking a talented Staff Software Engineer to join our dynamic Batch Compute Team. We are in search of individuals who have extensive experience in large scale data systems. In this role, you'll be instrumental in owning these systems, designing, developing and setting the vision of offline compute at Lyft. Your work will have a major impact on several areas of the business.

We are looking for experienced candidates who are self starters and have a proven track record of delivering major projects that can solve critical business needs. The candidate should be able to dive deep into any problem areas with lots of ambiguity and build a technical solution to solve it. They should be willing to take complete ownership of a charter or a system and be able to set a vision for it.

Responsibilities:

  • Own, lead and set the vision for one or more large scale offline compute systems
  • Work with data engineers, data scientists, ML engineers and software engineers from other orgs to understand their requirements, build solutions and enforce best practices
  • Innovate how ETLs and offline compute should work at Lyft
  • Set high standards, mentor and coach other engineers on the team

Experience:

  • 9+ years of experience working with open source systems like Hive, Spark, Presto etc.
  • 7+ years of experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies
  • Expertise in configuring, optimizing and debugging large scale compute clusters
  • Possess a strong understanding of the latest data technologies and has the ability to bring in cross-industry partnerships and knowledge into the team
  • Strong proficiency in working with kubernetes and container technologies (e.g. Docker, cri-o, etc)
  • Excellent communication skills and ability to collaborate with teams across various orgs
  • Experience working with kubernetes and container technologies (e.g. Docker, cri-o, etc)
  • Familiar with a cloud-based environments such as AWS/GCP/Azure
  • Bonus: experience with envoy

Benefits:

  • Great 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, hourly team members have 15 days paid time off
  • 401(k) plan to help save for your future
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Pre-tax commuter benefits
  • Lyft Pink - Lyft team members get an exclusive opportunity 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 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.

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, 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

The expected base pay range for this position in the New York City area is 172,000 - 215,000. 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.