Platform Engineer

Experteer Overview In this role you will lead the development and optimization of scalable, GPU-accelerated Kubernetes platforms for high-performance ML workloads. You will design hybrid cloud and bare-metal clusters, build reliable CI/CD pipelines, and develop observability to support resilient operations. You’ll work with cross-functional teams to improve tooling and enforce infrastructure-as-code practices. This is a hands-on opportunity to shape advanced infrastructure in a technology-driven defense and space environment. Compensation / Benefits * Deploy and manage Kubernetes clusters optimized for GPU-accelerated ML workloads * Enhance system performance through proactive monitoring and optimization * Design and operate automated CI/CD pipelines for efficient software delivery * Develop observability tools to monitor system health and provide actionable insights * Collaborate with development teams to refine tooling and deployment processes * Implement infrastructure-as-code using Terraform, Helm, and Ansible * Manage networking, storage, and system configurations for high-performance environments * Ensure adherence to stringent security standards and protocols Tasks * Bachelor’s degree in Computer Science or related field * 3-5 years of experience in platform engineering or DevOps * Proficiency in Python and Bash * Strong Kubernetes administration and GPU environments * Experience with CI/CD design and observability tools * Advanced knowledge of Linux systems and IaC practices * Ability to manage complex systems and ensure security compliance * Preferred experience with ML orchestration tools and build toolchains Key requirements *

and Terraform, Helm, and Ansible * Manage networking, storage, and system configurations for high-performance environments * Ensure adherence to stringent security standards and protocols Tasks * Bachelor’s degree in Computer Science or related field * 3-5 years of experience in platform engineering or DevOps * Proficiency in Python and Bash * Strong Kubernetes administration and GPU environments * Experience with CI/CD design and observability tools * Advanced knowledge of Linux systems and IaC practices * Ability to manage complex systems and ensure security compliance * Preferred experience with ML orchestration tools and build toolchains Key requirements *