💼 What You'll Do:
• Build and manage CI/CD pipelines for applications and ML workflows
• Deploy and manage infrastructure on AWS/GCP
• Work with Docker, Kubernetes (EKS), and Terraform
• Support ML pipelines using AWS SageMaker
• Implement monitoring & logging (Prometheus, Grafana, CloudWatch)
• Ensure security best practices (IAM, RBAC, Secrets Management)
• Troubleshoot issues and optimize system performance
✅ What We're Looking For:
• Strong experience in AWS (including SageMaker) or GCP
• Hands-on with CI/CD tools like Jenkins or GitHub Actions
• Expertise in Docker & Kubernetes
• Experience with Terraform & ArgoCD (GitOps)
• Proficiency in Python or Shell scripting
• Knowledge of microservices & ML workflows
⭐ Nice to Have:
• MLOps experience
• AWS Certification