ML Platform Lead Engineer
Core
Design, build, and support cloud infrastructure and deployment pipelines for a centralized Data Science and AI/ML platform on AWS.
Role type
Manager-level ML Platform Lead Engineer
Builds
Cloud-native Data Science and AI/ML platform infrastructure and deployment pipelines
Domain
Financial markets infrastructure / Cloud Engineering / DevOps
Deliverable
infrastructure
Required skills
AWS (SageMaker, Bedrock, EC2, VPC, IAM, S3, RDS, EKS), Python, Docker, Kubernetes (EKS), Terraform, GitLab CI/CD
Preferred skills
Helm charts, Kubernetes networking, ingress controllers, autoscaling, rolling deployments, reusable Terraform modules
Technologies
AWS, SageMaker, Bedrock, EC2, VPC, IAM, S3, RDS, EKS, GitLab, Jenkins, Azure DevOps, GitHub Actions, Docker, Kubernetes, Terraform, Helm
Responsibilities
Design and implement highly available, secure, and scalable AWS cloud infrastructure; Build and manage CI/CD pipelines for automated application deployment; Deploy and maintain containerized applications using Docker and Kubernetes; Automate operational tasks and infrastructure provisioning; Support migration of applications to AWS cloud; Implement security best practices and disaster recovery strategies.
Seniority
Manager, hands-on IC with team leadership
