Steven Murawski
Principal Cloud Advocate
New Berlin, Wisconsin, United States
Summary
🤩
RockstarSteven Murawski is a Principal Cloud Advocate at Microsoft with 12 years of hands-on experience in cloud, DevOps, and MLOps. He combines advocacy and technical execution—automating ML model deployments on Azure ML and streamlining CI/CD and testing for large open-source projects like Habitat and Chef. His background shows deep Windows and cross-platform expertise, from refining DSC providers and WinRM transports to introducing Pester-based testing and AppVeyor builds. Comfortable moving between developer-facing guidance and low-level automation, he’s known for pragmatic fixes that improve testability and deployment reliability across ecosystems. Based in New Berlin, Wisconsin, he brings a rare mix of public cloud advocacy and contributor credibility to complex infrastructure workflows.
12 years of coding experience
Stackoverflow
11,059reputation
2.5mreached
122answers
6questions
error-handling
top-5%
loops
top-5%
vbscript
top-5%
powershell
top-1%
regex
top-5%
scripting
top-5%
Github Skills (48)
azure-devops-server10
test-kitchen10
pester10
multiplatform10
python10
testing10
windows10
cross-platform10
cicd10
ruby10
chef-client10
automation10
tensorflow10
automation-testing10
azure-devops10
Programming languages (15)
Github contributions (5)
test-kitchen/test-kitchen
Jul 2015 - Jan 2020
Test Kitchen is an integration tool for developing and testing infrastructure code and software on isolated target platforms
Role in this project:
DevOps Engineer & Test Automation Engineer
DevOps Engineer & Test Automation EngineerContributions:96 commits, 56 PRs, 110 pushes in 4 years 6 months
Contributions summary:Steven primarily contributed to improving the test suite and CI/CD processes for the test-kitchen project. They fixed test errors on Windows, addressing platform-specific issues in the SSH and WinRM transport implementations. The user also added options for sspinegotiate and SSL with WinRM. Further work involved refactoring and fixing rubocop complaints and quality metrics.
infrastructure-testingruby-gemtest-kitchendevelopingkitchen
microsoft/ignite-learning-paths-training-aiml
Oct 2019 - Mar 2020
Microsoft Ignite Learning Path, Train the Trainer materials: Developers Guide to AI
Role in this project:MLOps Engineer
MLOps EngineerContributions:16 commits, 10 PRs, 9 comments in 5 months
Contributions summary:Steven primarily worked on setting up and automating the deployment process for machine learning models. This involved modifying the training script (`train.py`) and the data parsing script (`parse.py`) to work within an Azure ML pipeline. They implemented an AMLCallback for logging and used ModelCheckpoint for saving model artifacts. Furthermore, they fixed python setup scripts and configured an Azure DevOps bootstrap container for automated setup and deployment.
developers-guideignitetrainerlearning-pathmicrosoft
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