Sr ML Platform Engineer

Job highlights

• Proven experience building and maintaining CI / CD pipelines. . Strong background in observability and autoscaling practices.

• Deep hands-on experience with GKE and Kubernetes. . Strong experience with Terraform for infrastructure-as-code.

• Experience managing IAM,secrets,and networking at production scale.

• Experience serving ML / LLM workloads in production.

• Own and operate production infrastructure for ML/LLM serving systems.

• Build and manage infrastructure-as-code using Terraform across GKE/Kubernetes environments.

• Manage IAM, secrets, and networking configurations securely at scale.

• Build and maintain CI/CD pipelines for ML and platform services.

• Establish observability and autoscaling for production ML/LLM workloads.

• Lead production incident management, ensuring reliability and fast recovery.

• Operate as a senior hands-on IC, available to start quickly on a contract basis.

• Deep hands-on experience with GKE and Kubernetes.

• Strong experience with Terraform for infrastructure-as-code.

• Experience managing IAM, secrets, and networking at production scale.

• Proven experience building and maintaining CI/CD pipelines.

• Strong background in observability and autoscaling practices.

• Experience serving ML/LLM workloads in production.

• Demonstrated production incident management experience.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.