Samuel Roback
Lead Software Engineer at Optum
Jackson, Wyoming, United States
Summary
👤
Senior🎓
Top SchoolSamuel Roback is a Lead Software Engineer with a decade of experience building cloud-native, data-intensive systems and leading platform reliability efforts. His background in meteorology uniquely informs his work processing massive scientific datasets, having moved a legacy forecasting stack to Google Cloud using Kubernetes, Pub/Sub, and BigQuery. At Optum he architects high-availability PostgreSQL solutions, streamlines org-wide CI/CD, and built a high-throughput async Python service to standardize and ingest enterprise data. He combines hands-on backend development (notably contributions to the NSF-supported Expertiza peer-review platform) with operational expertise in Grafana/Prometheus and ELK to proactively detect and resolve downtime. Comfortable across infrastructure, data engineering, and application layers, he pairs scientific curiosity with pragmatic cost-optimization and automation skills. Based in Jackson, Wyoming, he brings a rare mix of domain science and cloud engineering to complex production problems.
10 years of coding experience
4 years of employment as a software developer
High School GEP, High School GEP at Walter Hines Page High School17 MET BS, Meteorology, 17 MET BS, Meteorology at North Carolina State University
English
Stackoverflow
1reputation
3kreached
0answers
3questions
Github Skills (18)
ruby-rails10
peer10
back-end-development10
peer-to-peer10
statistics10
rails10
ruby10
sql9
database-design9
maps6
html6
latitude-longitude6
openlayers6
weather6
geojson6
Programming languages (5)
Github contributions (5)
expertiza/expertiza
Apr 2017 - Apr 2017
Expertiza is a web application through which students can submit and peer-review learning objects (articles, code, web sites, etc). The Expertiza project is supported by the National Science Foundation.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:28 commits in 8 days
Contributions summary:Samuel primarily contributed to the back-end functionality of the Expertiza web application. Their work focused on implementing features related to survey deployment, including adding, deleting, and generating statistics for surveys. The user also addressed bugs, such as fixing issues with NULL survey names, and refactored code by removing unnecessary comments. They also integrated Google Charts to visualize survey responses.
nationalpeer-reviewexpertiza-wikidjangoexpertiza
sdg123/bank-app
Feb 2017 - Mar 2017
Contributions:77 commits, 1 branch, 2 issues in 13 days
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