Sr. MLOps Engineer

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.

Skills

gke, iac, infrastructure as code, kubernetes, mlops, mlops engineer, terraform