Senior Cloud DevOps Engineer
Core
Design, provision, and maintain resilient multi-cloud infrastructure for AI/ML workloads, including MLOps pipelines and Kubernetes clusters.
Role type
Senior Cloud DevOps Engineer (AI/ML Infrastructure)
Builds
Production-grade AI/ML platforms, MLOps pipelines, and scalable cloud infrastructure on AWS/GCP.
Domain
Cloud Infrastructure, AI/ML, MLOps
Deliverable
production ML models | infrastructure
Required skills
Multi-cloud architecture (AWS/GCP), Infrastructure as Code (Terraform/CloudFormation), Kubernetes (EKS/GKE), CI/CD (GitHub Actions), Python, Bash, SQL, Docker containerization, Cloud networking and security.
Preferred skills
Cloud DevOps certifications, experience with Snowflake Cortex AI/ML, Amazon SageMaker Unified Studio.
Technologies
AWS (EKS, SageMaker, Lambda, Redshift), GCP (GKE, Vertex AI, BigQuery), Terraform, CloudFormation, GitHub Actions, Kubernetes, Docker, Snowflake.
Responsibilities
Design and maintain multi-cloud infrastructure for AI/ML; automate environment provisioning; build end-to-end MLOps pipelines; manage Kubernetes clusters for ML training and inference; partner with data scientists on platform enablement; enforce security and governance best practices.
Seniority
Senior, hands-on IC
