Senior Kubernetes Engineer

Duration: Full-time/Permanent

Location: Hybrid, 3 days/week onsite in Downtown Dallas, TX

Our client is expanding its engineering team to build and operate Kubernetes infrastructure supporting large-scale compute and AI workloads. We are seeking a hands-on Kubernetes Platform Engineer with deep experience building, developing, and operating Kubernetes platforms and services used by other engineering teams.

This role is highly technical and approximately 60% hands-on coding, with a strong focus on Kubernetes platform development, Linux, bare-metal infrastructure, automation, distributed systems, and GPU/accelerator technologies.

Responsibilities:

• Build, develop, maintain, and operate Kubernetes platforms and platform services for internal engineering teams.
• Write production-quality code and automation supporting Kubernetes platform capabilities and operations.
• Troubleshoot complex issues across Kubernetes, Linux, networking, and underlying infrastructure.
• Deploy and operate Kubernetes infrastructure on bare-metal servers and Linux systems.
• Work with GPU operators and accelerator infrastructure supporting large-scale compute and AI workloads.
• Develop tools, services, and automation that improve platform reliability and engineering productivity.
• Partner with application and infrastructure engineering teams to understand platform requirements and deliver reliable Kubernetes services.
• Participate in platform improvements, operational troubleshooting, and infrastructure scaling.
• Help evolve Kubernetes infrastructure as the client's data-center and AI compute environment expands.

Required Skills:

• Strong hands-on experience with Kubernetes platform engineering and administration.
• Experience building or owning Kubernetes services/platforms used by other engineering teams.
• Strong software development and coding skills with recent production coding experience.
• Experience with Linux systems administration and troubleshooting.
• Strong understanding of networking and distributed systems.
• Experience troubleshooting complex Kubernetes and infrastructure issues.
• Experience with automation, scripting, and infrastructure tooling.
• Ability to work independently, take ownership, and collaborate effectively with engineering teams.
• Ability to learn and work with unfamiliar technologies and infrastructure.

Preferred Skills:

• Kubernetes running on bare-metal infrastructure.
• Experience with NVIDIA GPUs, GPU Operators, CUDA, or accelerator infrastructure.
• Experience supporting AI/ML or high-performance compute workloads.
• Experience building managed Kubernetes platforms or internal developer platforms.
• Kubernetes certifications such as Certified Kubernetes Administrator (CKA).
• Experience with Kubernetes operators, controllers, CRDs, or platform services.
• Experience with containerization, Linux networking, and infrastructure automation.