remote
Principal AI Platform Engineer - TRADESTATION
Devops Engineer
Lead the design and scaling of AI platforms, driving end‑to‑end ML pipelines on AWS with Kubernetes and Docker, while ensuring robust CI/CD and data engineering practices for high‑frequency trading applications.
About the role
Key Responsibilities
- Architect and maintain scalable AI/ML infrastructure on AWS, leveraging Kubernetes and Docker for container orchestration.
- Design and implement end‑to‑end machine learning pipelines, from data ingestion to model deployment and monitoring.
- Collaborate with data scientists, traders, and software engineers to translate business requirements into production‑ready solutions.
- Drive continuous integration and continuous delivery (CI/CD) practices, ensuring rapid, reliable releases.
- Optimize performance, cost, and reliability of AI services in a high‑frequency trading environment.
Requirements
- 10+ years of experience in software engineering with a focus on AI/ML platform development.
- Proficiency in Python, AWS services (SageMaker, ECS, EKS, Lambda), Kubernetes, and Docker.
- Strong background in CI/CD tooling (Jenkins, GitHub Actions, ArgoCD) and infrastructure as code (Terraform, CloudFormation).
- Experience with large‑scale data pipelines, streaming, and real‑time analytics.
- Excellent problem‑solving skills and a passion for building production‑grade AI systems.
Skills
pythonmachine learningawskubernetesdockercicd