Platform Engineer

Overview

• Lead the operation and optimization of GPU-accelerated Kubernetes platforms for high-performance machine learning workloads.
• Deploy and manage Kubernetes clusters on bare-metal infrastructure with hybrid cloud capabilities for scalability.
• Design and maintain CI/CD pipelines to ensure efficient software deployment across diverse environments.
• Develop observability systems for real-time monitoring and performance optimization of infrastructure.
• Collaborate with development teams to enhance productivity through streamlined tooling and processes.
• Implement infrastructure-as-code practices using modern tools to ensure consistency and scalability.
• Manage core infrastructure components, including networking, storage, and system configurations.
• Ensure compliance with security standards and harden systems against vulnerabilities.

Key Responsibilities & Duties

• Deploy and manage Kubernetes clusters on bare-metal infrastructure supporting NVIDIA GPUs.
• Optimize GPU clusters for machine learning training workloads ensuring reliability and performance.
• Design and operate CI/CD pipelines for automated build and deployment processes.
• Develop observability stacks for real-time system health monitoring and alerting.
• Collaborate with development teams to enhance tooling for deployment efficiency.
• Implement infrastructure-as-code practices using Terraform, Helm, and Ansible.
• Manage networking, storage, and system configurations for high-performance clusters.
• Ensure systems meet defense-grade security and compliance standards.

Job Requirements

• Bachelor's degree in Computer Science or related field.
• 3-5 years of experience in platform engineering or DevOps roles.
• Proficiency in Python and Bash for automation and tooling.
• Deep knowledge of Kubernetes administration and GPU environments.
• Experience with CI/CD pipelines and observability tools.
• Strong expertise in Linux systems and infrastructure-as-code practices.
• Ability to manage complex systems and ensure security compliance.
• Preferred experience with ML orchestration tools and build toolchains.