Role: Data Science Platform & DevOps Engineer
Palm Beach, FL (Hybrid)
Duration: 6 months +
Key Responsibilities
Develop and support Python-based data science, analytics, forecasting, and optimization applications.
Build and maintain GitHub repositories, branching, PR controls, and CI/CD pipelines using GitHub Actions.
Develop AWS CDK / Infrastructure-as-Code components and deployment patterns.
Integrate applications with cloud storage, databases, query services, semantic/reporting layers.
Implement unit, integration, regression, deployment, and smoke testing.
Manage configuration, secrets, environments, observability, deployments, and production support.
Troubleshoot issues and create technical documentation, deployment guides, and runbooks.
Required Skills
10+ years in Software Engineering, Data Engineering, Data Science Platforms, or DevOps.
Strong Python development, APIs, packages, testing frameworks.
GitHub, GitHub Actions, CI/CD, PR/release automation.
AWS CDK, Terraform, CloudFormation, or similar IaC.
Cloud analytics, databases, storage, semantic/reporting tools.
Automated testing, deployment validation, monitoring, and production support.
Strong troubleshooting and communication skills.
Data Science Platform & DevOps Engineer in Palm Beach at Kodeva LLC
This position is listed as full time and hybrid. It was posted 2 days ago.