Laurén Roshore
Engineering Manager Observability And Reliability at Spotify
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolLaurén Roshore is an Engineering Manager specializing in observability and reliability with nine years of experience building and operating large-scale monitoring stacks at Spotify. She leads teams responsible for logs, metrics, traces and SLOs while pairing hands-on systems work with people management to drive reliability across production services. Her background as an SRE and senior engineer includes ownership of Fluentd, Pub/Sub, Elasticsearch, Bigtable, Grafana and in-house open source tools like Heroic and FFWD, where she has contributed backend refactors to reduce write overhead. Comfortable in cloud migrations, tracing adoption, and Linux-heavy platform engineering, she blends strong Python coding skills with practical automation and incident response experience. Based in New York, she brings a pragmatic focus on optimization and maintainability, often surfacing efficiency wins that aren’t obvious until you dig into telemetry pipelines.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science (BS), Computer Engineering, Bachelor of Science (BS), Computer Engineering at Binghamton University
English, Spanish
Github Skills (11)
javas10
backend10
back-end-development10
java10
metric10
amazon-elasticsearch9
elasticsearch-api9
aws-elasticsearch9
elasticsearchquery9
timeseries-database9
elasticsearch9
Programming languages (6)
Github contributions (5)
spotify/heroic
Oct 2018 - Mar 2021
The Heroic Time Series Database
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 releases, 37 reviews, 46 commits in 2 years 5 months
Contributions summary:Laurén's contributions primarily involve refactoring and removing unused code related to write operations and reporting within the Heroic time series database. They removed unused reporting methods and streamlined code related to cache hits, duplicates, and rate limits. These changes span multiple backend components including semantic suggest and metadata reporters, and indicate a focus on optimization and reducing write overhead.
time-seriestime-series-databasedatabaseseries-database
spotify/ffwd-client-java
Aug 2020 - Aug 2022
Java client for FastForward
Contributions:2 releases, 10 commits, 8 PRs in 2 years
jsinteropfastforwardswingjavagwt
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