Grant Soyka
Senior DevOps Engineer at Adobe
Colorado, United States
Summary
👤
Senior🎓
Top SchoolGrant Soyka is a Senior DevOps Engineer with a decade of hands-on experience designing and automating cloud-native infrastructure for both commercial and open-source projects. Based in Colorado, he blends an operations background with software development to build scalable, cost-efficient AWS solutions—everything from EC2 and Lambda migrations to Kubernetes/EKS and containerized GPU workloads. At Maxar he delivered measurable savings (including a 70% compute-cost cut moving pipelines to Lambda) and accelerated deployment velocity through extensive IaC, CI/CD, and containerization practices. He contributes to notable open-source tooling like troposphere, adding CloudFormation support for SQS, EC2 Flow Logs, Lambda, and serverless/Fargate features, and has streamlined complex build and packaging flows for projects like GeoWave. Comfortable bridging security, legal, and product teams, he focuses on developer experience and automating repeatable, auditable platforms.
10 years of coding experience
5 years of employment as a software developer
Colorado School of MinesBA, Mathematics, BA, Mathematics at University of Colorado Boulder
English
Stackoverflow
11reputation
539reached
0answers
1question
Github Skills (43)
docker10
python10
scripting10
dockers10
cicd10
script10
aws-cloudformation10
aws10
aws-s310
sh10
serverless10
shell10
ec9
packaging9
package9
Programming languages (10)
Github contributions (5)
cloudtools/troposphere
Jul 2018 - Apr 2022
troposphere - Python library to create AWS CloudFormation descriptions
Role in this project:
Cloud Engineer / Infrastructure Engineer
Cloud Engineer / Infrastructure EngineerContributions:9 commits, 10 PRs in 3 years 9 months
Contributions summary:Grant contributed to the `troposphere` library by adding support for new AWS CloudFormation features and resources. They added properties for Amazon SQS, Amazon EC2 Flow Logs, EC2 Routes, and AWS Lambda. These contributions involved modifying existing Python code to include new parameters and validation rules for various AWS services. They also worked on the serverless component, integrating changes for AWS Api and Fargate ephemeral storage.
python-libraryaws-cloudformationpythontropospherepython3
locationtech/geowave
Feb 2018 - Mar 2018
GeoWave provides geospatial and temporal indexing on top of Accumulo, HBase, BigTable, Cassandra, Kudu, Redis, RocksDB, and DynamoDB.
Role in this project:DevOps Engineer
DevOps EngineerContributions:7 commits, 7 PRs in 29 days
Contributions summary:Grant primarily contributed to the project's build and deployment processes. Their work involved modifying Dockerfiles and shell scripts to manage dependencies, configure RPM builds, and handle the deployment of GeoWave components. They focused on integrating with cloud storage (S3) for third-party downloads and parameterizing the build pipeline. The user also made changes to the packaging and publishing of artifacts.
indexingon-tophbasekudupartitioning
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