Rust AI Engineer, Director
Core
Design, develop, and maintain a scalable AI platform for an investment management technology environment, focusing on Kubernetes cluster management, cloud-native infrastructure, and automated ML model deployment pipelines.
Role type
Director-level AI Platform Engineering Lead
Builds
Scalable AI platform, Kubernetes clusters for model deployment, automated ML training/testing pipelines, and cloud-native infrastructure abstractions
Domain
Investment Management / AI Infrastructure / Cloud Engineering
Required skills
Kubernetes (Helm, Kustomize, CRDs), Rust, C++, Python, AWS/GCP/Azure, Docker, CI/CD (Jenkins, GitHub Actions, ArgoCD), Terraform, distributed systems, API design, security policies, PyTorch, Jax, Numpy, Prometheus, Grafana
Preferred skills
SDK/client library development, Spark, Dask, GPU orchestration, MLOps, model fine-tuning, Kafka, Cassandra, event-driven architecture
Technologies
Kubernetes, Helm, Kustomize, CRDs, Rust, C++, Python, AWS, GCP, Azure, Docker, containerd, Jenkins, GitHub Actions, ArgoCD, Terraform, CloudFormation, Prometheus, Grafana, PyTorch, Jax, Numpy, Spark, Dask, Kafka, Cassandra, PyTorch
Responsibilities
Design and maintain scalable AI platform components; implement and manage Kubernetes clusters for AI model deployment; build platform abstractions for cloud-native infrastructure; develop automated pipelines for continuous ML model training, testing, and deployment; ensure security and compliance standards; troubleshoot platform performance and reliability; translate business needs into scalable technical designs; collaborate with cross-office teams; stay current on AI and cloud engineering trends
Seniority
Director, strategy & mentorship