AWS Cloud DevOps Engineer
Core
Architecting, deploying, and supporting enterprise machine learning systems and GenAI solutions at scale.
Role type
Senior IC ML DevOps Engineer
Builds
Production ML systems, scalable training/inference tools, and GenAI platform capabilities.
Domain
Cloud Infrastructure + Machine Learning / Generative AI
Deliverable
production ML models
Required skills
AWS, Terraform, Jenkins, CloudFormation, CI/CD, Docker, Kubernetes, Shell Scripting, Python, Go, Infrastructure as Code, Logging, Monitoring, Observability
Preferred skills
AWS Sagemaker, Chef, AI/ML domain knowledge, Generative AI
Technologies
AWS, Terraform, Jenkins, CloudFormation, Docker, Kubernetes, Sagemaker, Chef, Python, Go
Responsibilities
Design ML deployment and monitoring pipelines; Convert offline data science models into production systems; Develop scalable tools for ML training and inference; Evaluate new technologies for performance and reliability; Apply software engineering rigor (CI/CD, automation) to ML; Support model development with auditability and versioning; Facilitate PoC ML systems; Communicate with clients to build requirements and track progress.
Seniority
Senior, hands-on IC
