Engineering Manager, HPC Kubernetes Platform

the company northmark compute & cloud (nmc²) is backed by dedicated leadership and investment, and operates at the bleeding edge of technology. Its goal is to scale and enhance the high‑performance computing (hpc) and cloud infrastructure that supports its clients’ research, production, and delivery, enabling breakthroughs that shape the industries of tomorrow. Its engineers build critical infrastructure to eliminate friction in scientific research, simulations, analysis, and decision‑making, accelerating discovery and driving faster innovation.

we are seeking an experienced engineering manager, hpc kubernetes platform to lead the team responsible for designing and scaling our bare‑metal kubernetes environment—the orchestration layer powering gpu‑ and cpu‑intensive machine‑learning and hpc workloads across global datacenters. This is a hands‑on leadership role focused on platform performance, reliability, and automation. You will define the technical roadmap, guide system architecture and optimization, and ensure our kubernetes platform delivers top‑tier reliability and throughput for distributed ml and hpc environments.

The ideal candidate is a strong technical leader who thrives at the intersection of infrastructure engineering, ai systems, and high‑performance computing.

• lead and mentor engineers designing and scaling nmc²’s bare‑metal kubernetes platform for hpc and ml workloads.
• architect and optimize gpu/cpu scheduling, resource management, and performance across multi‑tenant compute clusters.
• drive automation and observability using infrastructure‑as‑code, ci/cd, and sre best practices.
• collaborate with research, storage, and network teams to integrate distributed file systems, high‑speed interconnects (infiniband, roce), and custom runtimes.
• partner with hardware and software vendors to improve tooling, influence product roadmaps, and streamline deployment.
• oversee platform reliability, capacity forecasting, and performance kpis across thousands of nodes.

• 7+ years in infrastructure, platform, or sre engineering, including 2+ in technical leadership.
• proven experience operating kubernetes environments tailored for hpc or ml training workloads—gpu scheduling, resource isolation, and workload optimization.
• deep knowledge of linux systems, networking, and performance engineering on bare‑metal hardware.
• experience managing large‑scale, multi‑tenant clusters and integrating distributed storage or high‑speed networking.
• strong automation experience (terraform, ansible, or similar) and familiarity with observability tools (prometheus, grafana, loki).
• excellent communication and stakeholder management skills; ability to translate complex technical direction into clear, actionable plans.
• bachelor’s degree or equivalent experience.
• must be legally authorized to work in the united states without the need for employer sponsorship.

• familiarity with hpc schedulers (slurm, flux) and container runtimes (containerd, cri‑o).
• contributions to open‑source kubernetes or ml infrastructure projects.

• company‑paid lunch stipend: lunch is provided via grubhub.
• medical: 100% employer‑paid high deductible plan (dental and vision benefits for employees and their families).
• paid parental leave: 16 weeks.
• employee assistance program.
• life insurance, short‑term disability and long‑term disability.
• 401(k) – company matches 100% of contributions up to 6%.
• optional employee‑paid benefits: medical insurance in ppo plan, health savings accounts (with company contribution), flexible spending accounts, supplemental life insurance, wellhub, and more.
• time off: 25 days of paid time off plus 12 company holidays.

equal opportunity employer northmark strategies llc is an equal employment opportunity employer. The company's policy is not to discriminate against any applicant or employee based on race, color, religion, national origin, gender, age, sexual orientation, gender identity or expression, marital status, mental or physical disability, or genetic information, or any other basis protected by applicable law. The firm also prohibits harassment of applicants or employees based on any of these protected categories.