Posted in Architecture 30+ days ago.
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Location: San Francisco, California
Lyft’s datastore team writes products that allow Lyft to scale its architecture, and creates software that maintains datastore reliability. We’re looking for engineers who have deep experience tuning, optimizing and monitoring datastores and the ability to write future-forward, self-healing software with minimal operational overhead.
As an engineer on the team, you will be responsible for some of the most production-critical infrastructure at Lyft. The team works with application developers to ensure that our datastores meet existing and upcoming needs and advises services on how to make better use of datastore resources. You will create software that works with open-source and industry standard technologies to promote low operational overhead, efficiency of use and reliability.
Our team believes in collaboration while maintaining individual ability to have impact. We ensure that knowledge is shared among members of the team. This strategy encourages growth while maintaining work-life balance. We believe in choosing the best store for the data and use Amazon Web Services (AWS) products like Kinesis, SQS, and DynamoDB as well as open-source solutions like Redis and ElasticSearch. We are currently implementing our next generation datastores to meet Lyft’s growing needs. We write Python, Go and C++.