Chris Gilmer
Staff Software Engineer at DoD Chief Digital and Artificial Intelligence Office
Long Beach, California, United States
Summary
👤
Senior🎓
Top SchoolChris Gilmer is a Staff Software Engineer with 15 years of experience designing and operating cloud-native infrastructure and backend systems, currently managing Lucasfilm’s Atris DAM and migrating legacy EC2 workloads to ECS, Lambda and Terraform-driven pipelines. He combines hands-on Python and JavaScript application development with deep infrastructure expertise—building AMI/container image systems, internal package registries, GitLab services and multi-account AWS architectures for both commercial and federal clients. Chris has led cloud programs at the DoD, DDS, and Truss, advising on FinOps, secure scaling, and data platform architectures while retaining an active engineering role. An open-source contributor, he’s improved robotics and AWS tooling—adding context-manager support and URScript composition to python-urx and expanding validation in troposphere—reflecting a practical focus on testability and standards compliance. Based in Long Beach, he pairs aerospace-rooted systems thinking with a knack for integrating robotics, IoT and serverless patterns into production-ready platforms.
15 years of coding experience
14 years of employment as a software developer
MS, Aerospace Engineering, MS, Aerospace Engineering at University of Southern CaliforniaBA, Astronomy, BA, Astronomy at University of Colorado Boulder
English, French
Stackoverflow
116reputation
3kreached
1answer
0questions
Github Skills (14)
automation10
troposphere10
robotics10
automations10
aws-cloudformation10
validation10
python10
validations10
testing10
lib9
aws-lambda8
pep8
django-models6
django6
Programming languages (15)
Github contributions (5)
SintefManufacturing/python-urx
Jan 2017 - Jul 2017
Python library to control a robot from 'Universal Robots' http://www.universal-robots.com/
Role in this project:
Back-end Developer & Automation Engineer
Back-end Developer & Automation EngineerContributions:8 commits, 8 PRs, 16 comments in 5 months
Contributions summary:Chris primarily focused on improving the `python-urx` library, which controls robots. They implemented features by allowing `URRobot` objects to be used as context managers. The user also refactored the code using flake8 to comply with PEP8 standards and added a `URScript` class to compose URScripts more efficiently, including automating Robotiq gripper control. Furthermore, the user improved the freedrive mode.
python-libraryroboticspythonroboturdf
cloudtools/troposphere
May 2016 - Feb 2017
troposphere - Python library to create AWS CloudFormation descriptions
Role in this project:Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:8 commits, 7 PRs, 26 comments in 8 months
Contributions summary:Chris contributed to the `troposphere` project by adding and expanding validation tests for AWS CloudFormation resource properties, specifically focusing on Elastic Load Balancer (ELB) configurations. They implemented validators for ELB names and TargetGroup health check ports. The user also introduced a new property related to AWS Lambda functions. Furthermore, the user addressed a code style issue identified by Flake8.
python-libraryaws-cloudformationpythontropospherepython3
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