About the Role
DataStream Analytics is hiring a Platform Engineer to build and maintain our internal ML platform. You will create self-service infrastructure for our data scientists, including model training pipelines, feature stores, experiment tracking, and model serving infrastructure.
Our stack includes Kubernetes, MLflow, Airflow, and various AWS services. You will work at the intersection of DevOps and machine learning.
Requirements
- 4+ years of platform or DevOps engineering experience
- Experience with Kubernetes, Docker, and container orchestration
- Familiarity with ML infrastructure (MLflow, Kubeflow, or SageMaker)
- Strong Python and infrastructure-as-code skills (Terraform, Pulumi)
- Understanding of CI/CD for ML workflows
Benefits
- Competitive salary with performance bonus
- Hybrid work with flexible hours
- Conference and certification budget
- Latest hardware and cloud sandbox credits
Posted May 26, 2026 · Closes Aug 26, 2026
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