Jeremy Dartigalongue
Principal Software Engineer (ML Platform)
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolJeremy Dartigalongue is a Principal Software Engineer based in Seattle with eight years of experience building cloud-native, scalable ML and batch-processing platforms. At Synopsys he advanced from application engineer to principal, architecting multi-cloud deployment automation, a Kubernetes operator, and ML-driven autoscaling for production clusters across AWS, GCP, and Azure. He combines hands-on Go development with deep ops expertise—having run 250+ node Kubernetes clusters and troubleshooting complex Java, database, and networking stacks. Comfortable bridging SRE, platform engineering, and ML infrastructure, Jeremy brings a pragmatic focus on operational automation and performance tuning that keeps large SaaS fleets resilient and efficient. An Open University computing graduate, he often applies systems-level insights to simplify deployment at scale.
8 years of coding experience
13 years of employment as a software developer
Bachelor of Science (BSc) Computing and IT, Bachelor of Science (BSc) Computing and IT at The Open University
French, English
Github Skills (95)
cloud-computing10
python10
terraform10
gcp10
python-client10
infrastructure10
fsharp10
serverless10
javascript10
client-library10
dotnet10
pulumi10
golang10
azure10
kubernetes10
Programming languages (7)
Github contributions (5)
jdartigalongue/synopsys-operator
May 2019 - Apr 2020
Deploys all Black Duck and Synopsys products in Kubernetes and OpenShift
Contributions:250 pushes, 87 branches in 11 months
duckopenshiftkubernetesdeployssynopsys
jdartigalongue/horizon
Aug 2018 - Dec 2018
Contributions:9 pushes, 2 branches in 4 months
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