onsite
Senior Platform Engineer AI/ML - Entergy
Devops Engineer
Lead AI/ML platform engineering, designing and operating cloud-native services on AWS. Drive DevOps practices, automate infrastructure with Terraform, and build scalable ML pipelines using Kubernetes, Docker, and CI/CD tools.
About the role
Key Responsibilities
- Architect and maintain cloud-native AI/ML platforms on AWS, ensuring high availability and scalability.
- Implement infrastructure-as-code with Terraform and automate deployments via CI/CD pipelines.
- Collaborate with data scientists and ML engineers to deploy model training and inference workloads on Kubernetes.
- Integrate monitoring, logging, and security best practices across the platform.
- Provide technical ownership and mentorship to cross-functional teams.
Requirements
- 5+ years of experience in cloud platform engineering, preferably in AI/ML environments.
- Proficiency with AWS services (EKS, S3, SageMaker, Lambda) and container orchestration.
- Strong scripting skills in Python and experience with Terraform, Docker, and Git.
- Hands‑on experience with CI/CD tools (Jenkins, GitHub Actions, ArgoCD).
- Excellent communication and collaboration skills in a fast‑paced, hybrid setting.
Skills
pythonawskubernetesterraformcicddocker