About the role
We are looking for a Senior MLOps Engineer to manage and maintain production infrastructure for machine learning (ML) and large language model (LLM) applications.
Responsibilities:
- Build and manage cloud infrastructure using Terraform, GKE, and Kubernetes.
- Manage IAM, secrets, and networking securely.
- Develop and maintain CI/CD pipelines for ML and platform services.
- Set up monitoring, observability, and auto-scaling for production workloads.
- Deploy and manage ML/LLM models in production.
- Handle production incidents, troubleshoot issues, and ensure system reliability.
- Work as a senior, hands-on individual contributor and be available to join quickly.
Requirements:
- Strong hands-on experience with GKE and Kubernetes.
- Expertise in Terraform and Infrastructure as Code (IaC).
- Experience with IAM, secrets management, and cloud networking.
- Strong knowledge of CI/CD pipelines.
- Experience with monitoring, observability, and auto-scaling.
- Experience managing ML/LLM workloads in production.
- Proven experience in production support and incident management.
- Immediate or short-notice availability for a contract role.