- Remote, United States
- Remote
- Full-time · Mid
- $134K–$158K per year
- 2–4 years
Design, develop and improve the infrastructure and data-platform capabilities that enable scalable, reliable services.
Compensation
$134,000—$158,000 USD
Responsibilities
- Design and develop scalable extract, transform, load (ETL) and extract, load, transform (ELT) data integration processes.
- Support agentic infrastructure by provisioning and scaling the compute, model serving, and secure execution environments that AI agents need to run reliably in production.
- Improve and optimize an on-demand predictive modeling platform using Python.
- Use Kubernetes and Docker to orchestrate scalable deployments and manage containers.
- Use contemporary hyperscaler environments to solve cloud-native engineering problems.
Requirements
- Bachelor's or master's degree in computer science or engineering
- Nice to have: Amazon EKS
- Nice to have: Azure AKS