Sean Holcomb
Staff Software Engineer at IBM
Reno, Nevada, United States
Summary
🤩
Rockstar🎓
Top SchoolSean Holcomb is a Staff Software Engineer with 11 years of experience specializing in cloud-native cost observability and backend systems, currently at IBM after leading engineering work at Kubecost. He built and optimized cloud billing integrations for AWS, GCP, and Azure, cutting AWS ingestion times by up to 90% to support large-scale customers, and contributed substantive backend and DevOps code to the open-source opencost project. Holding an M.S. in Computer Science from Georgia Tech, he pairs strong systems thinking with hands-on work across Go, TypeScript, React, and cloud SDKs. Sean balances pragmatic product-driven engineering with a curiosity for new frameworks and design patterns, and his background includes leading small teams and building diagnostic UX to reduce operational load. An interesting thread through his career is cross-disciplinary adaptability—from data-science internships and mobile apps to cost-modeling for Kubernetes—demonstrating both breadth and depth in production software.
11 years of coding experience
8 years of employment as a software developer
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at Georgia Institute of TechnologyUniversity of California Santa Cruz
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (18)
kubernetes10
data-collection10
go10
prometheus10
kubernetes-pods10
collections10
metric10
aggregator9
aggregate9
aggregations9
ag9
aggregates9
cicd8
microsoft-azure7
cost-optimization7
Programming languages (6)
Github contributions (5)
opencost/opencost
Jan 2021 - Jan 2023
Cost monitoring for Kubernetes workloads and cloud costs
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:2 releases, 255 reviews, 352 commits in 2 years
Contributions summary:Sean's commits focus on expanding the cost model functionality in the `opencost/opencost` repository. The contributions involve adding new metrics to the cost model, specifically by integrating annotations for better data aggregation and filtering. Code changes involved modifying Prometheus queries, updating data structures, and implementing logic to process and reconcile the new metrics. The user also made infrastructural updates by including testing, and other code enhancements.
gcpcost-optimizationfinopskubecostcost-allocation
Sean-Holcomb/opencost
Jan 2024 - Mar 2025
Cost monitoring for Kubernetes workloads and cloud costs
Contributions:70 pushes, 89 branches, 36 tags in 1 year 2 months
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