Engineering Manager – Kubernetes Platform (AI / Distributed Compute)
Location: Dallas, TX (Hybrid)

• Competitive base salary + performance bonus
• 100% company-paid benefits

Overview

We are seeking an Engineering Manager to lead the development and evolution of a large-scale Kubernetes platform supporting compute-intensive workloads across distributed environments.

This role blends technical leadership with hands-on platform expertise, focusing on building highly reliable, high-performance infrastructure that supports advanced data processing, AI/ML workloads, and large-scale compute operations. You will play a key role in shaping the platform strategy, guiding architectural decisions, and driving continuous improvement across performance, scalability, and automation.

The ideal candidate is a strong technical leader with experience managing engineering teams while remaining close to system design and platform engineering challenges.

Key Responsibilities

Team Leadership & Technical Direction
• Lead, mentor, and grow a team of engineers responsible for platform development and operations
• Define technical direction, roadmap, and best practices across platform engineering initiatives
• Provide hands-on guidance in system design, performance optimization, and infrastructure strategy

Platform Architecture & Performance
• Design and evolve Kubernetes-based infrastructure supporting high-throughput, distributed workloads
• Optimize resource allocation, workload scheduling, and system performance across shared compute environments
• Ensure platform scalability, reliability, and efficient utilization of compute resources

Automation & Reliability
• Drive automation across infrastructure and platform operations using Infrastructure-as-Code and CI/CD practices
• Establish and enhance observability, monitoring, and incident response processes
• Define and track key performance and reliability metrics across large-scale environments

Cross-Functional Collaboration
• Partner with engineering, data, and infrastructure teams to integrate storage, networking, and compute systems
• Collaborate on system design decisions involving distributed storage, high-speed networking, and runtime environments
• Engage with external partners and vendors to improve tooling and platform capabilities

Capacity Planning & Operations
• Oversee platform health, capacity planning, and long-term scalability across distributed infrastructure
• Ensure operational readiness for high-demand workloads and evolving system requirements

Required Experience

• 7+ years of experience in platform engineering, infrastructure engineering, or SRE environments
• 2+ years of experience leading or managing engineering teams
• Strong experience operating Kubernetes in large-scale, production environments
• Experience supporting compute-intensive workloads (e.g., AI/ML, data processing, or distributed systems)
• Deep understanding of Linux systems, networking fundamentals, and performance optimization
• Experience working with shared, multi-tenant infrastructure environments
• Hands-on experience with Infrastructure-as-Code tools (e.g., Terraform, Ansible)
• Familiarity with observability and monitoring tools (e.g., Prometheus, Grafana, logging platforms)
• Strong communication skills with the ability to align technical execution with business objectives

Preferred Experience

• Familiarity with workload orchestration or scheduling frameworks (e.g., Slurm or similar)
• Experience with container runtimes such as containerd or CRI-O
• Exposure to distributed storage systems or high-performance networking concepts
• Contributions to open-source projects within Kubernetes, infrastructure, or AI/ML ecosystems