Engineering Manager (Workload Orchestration)

TL;DR

Engineering Manager (Workload Orchestration): Building and leading a team to develop infrastructure for large-scale distributed computation jobs with an accent on headless execution and cloud-scale Kubernetes clusters. Focus on designing scalable job scheduling systems and integrating with third-party simulation workflow platforms.

Location: Hybrid (3 days in-office per week), must be based in or be able to relocate to the New York City metro area.

Salary: $235,000 – $250,000 per year

Company

hirify.global builds parametric design software for complex geometry problems in aerospace, defense, and industrial turbomachinery.

What you will do

• Recruit, hire, and develop a small, senior engineering team with high individual leverage.
• Own the architecture for headless execution and workload orchestration across workstations, on-prem HPC, and cloud.
• Act as a player-coach, writing production code and reviewing PRs during the first year.
• Lead the execution of integrations with HEEDS, ModelCenter, and PhysicsX Flux pipelines.
• Collaborate with Product Managers to translate strategy into technical execution plans.
• Design systems that function within strict IT governance and export control constraints for defense and aerospace clients.

Requirements

• 7+ years of software engineering experience, including 3+ years managing engineering teams.
• Expertise in building distributed systems, infrastructure software, Docker, and Kubernetes.
• Hands-on experience with at least one cloud platform (AWS, GCP, or Azure).
• Experience shipping software into customer-managed environments (on-prem, hybrid, or air-gapped).
• Must be based in or willing to relocate to the NYC metro area.

Nice to have

• Background in HPC, scientific computing, or engineering simulation (Slurm, PBS, OpenMDAO).
• Experience with ITAR/EAR obligations or strict IT governance.
• Comfort reading and reasoning about C++ codebases.

Culture & Benefits

• Opportunity to build a critical product area and team from scratch reporting to the CTO.
• Work on genuinely hard technical problems for high-stakes industries.
• Hybrid work model requiring 3 days in-office per week.
• AI-native workflows and a culture of high individual leverage.