ML Ops & DevOps Lead (AWS) (m/f/d)
Summary
Design and scale AWS cloud environments for enterprise AI-driven apps, deploying ML services, Terraform infrastructure, and CI/CD pipelines.
Senior Platform Engineer (AWS)
Role Overview
We are seeking a Senior Platform Engineer to design and scale AWS cloud environments to support enterprise AI-driven applications, ensuring high performance, security, and cost efficiency.
Key Responsibilities
- Build AWS landing zones and cloud environments from scratch
- Deploy and manage AI/ML services (Bedrock, SageMaker, Textract, Rekognition)
- Implement Terraform-based infrastructure
- Manage APIs using AWS API Gateway and Kong
- Optimize cloud costs and monitoring
- Develop CI/CD pipelines
Required Skills & Qualifications
- 5+ years of AWS experience
- Expertise in Terraform
- Experience with AWS Bedrock and SageMaker
- Strong networking skills (VPC, Route 53, Direct Connect)
- Experience with API Gateway or Kong
- Cloud architecture expertise
We encourage applications from all qualified candidates, regardless of race, gender, disability, or any other characteristic that makes them unique.