Conor Manning
Lead DevOps Engineer at Funko
Austin, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolConor Manning is a Lead DevOps Engineer based in Austin with 12 years of hands-on experience building and operating web infrastructure for consumer-facing sites. He progressed through systems and DevOps roles at Funko after several years managing integrations and vendor compliance at Mondo, bringing strong operational discipline to multi-team e-commerce flows. Conor contributes to open-source point-cloud projects—work on Potree and PDAL shows deep familiarity with binary data pipelines and efficient handling of large datasets, an unusual niche for a DevOps lead. He also brings practical AV and live-sound engineering experience, which informs a pragmatic, event-driven approach to reliability and incident response. Comfortable in both back-end data parsing and front-end performance tuning, he focuses on shipping resilient systems that balance developer velocity with production stability.
12 years of coding experience
8 years of employment as a software developer
Texas State UniversityBachelor of Applied Science - BASc, Bachelor of Applied Science - BASc at Austin Community College
Stackoverflow
299reputation
20kreached
3answers
6questions
Github Skills (23)
webgl10
hdf10
javascript10
c-language10
cprogramming-language10
point-cloud10
3d-graphics9
data-parsing9
data-processing9
webassembly8
file-processing8
file-handling8
file-access8
fileio8
doxygen6
Programming languages (7)
Github contributions (5)
PDAL/PDAL
Apr 2014 - Jan 2023
PDAL is Point Data Abstraction Library. GDAL for point cloud data.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:36 reviews, 245 commits, 148 PRs in 8 years 9 months
Contributions summary:Conor contributed significantly to the development of an "icebridge reader" for the PDAL library, focusing on reading data from HDF5 files. The contributions include the implementation of a new icebridge reader, including the source code for Reader.cpp and supporting header files. These changes suggest a back-end development role involving data parsing and data processing.
point-cloudabstraction-librarypointgdaldata-abstraction
potree/potree
Feb 2016 - Apr 2019
WebGL point cloud viewer for large datasets
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:45 commits, 5 PRs, 22 comments in 3 years 1 month
Contributions summary:Conor made several commits focused on enhancing the point cloud viewer, specifically modifying the `laslaz.js` file related to point cloud compression and decompression. These changes indicate a focus on performance and efficient handling of large point cloud datasets, and the use of binary data implies working with the core data processing pipeline for the WebGL point cloud viewer. The commits included setup for decompression and adjusting Greyhound API implementations.
webglpointpclviewerviewer-cloud
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