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Staff Infrastructure Engineer - Leading AI and Data Infrastucture Startup

evolution usa • New York City Metropolitan Area
Relocation
This Job is No Longer Active This position is no longer accepting applications

Job Description


This high-growth AI and data-infrastructure startup is re-engineering how data and machine-learning workloads run at scale. Backed by leading investors and built by a team of systems engineers from the world’s top tech firms, they’re building next-generation infrastructure for low-latency, high-throughput compute.


If you love scaling distributed systems, optimizing infrastructure performance, and working side-by-side with ML and data teams, this is for you.


You’ll play a hands-on leadership role building and optimizing production infrastructure that powers real-time data pipelines and large-scale ML workloads.


You will:

  • Architect and maintain core infrastructure for scheduling, orchestration, and compute optimization.
  • Design systems for high reliability, scalability, and observability.
  • Build tools to manage cloud and on-premise resources efficiently.
  • Develop and implement monitoring, alerting, and fault-tolerance strategies across environments.
  • Partner with engineers across teams to continuously optimize performance, cost, and developer productivity.


What You’ll Bring

  • 8+ years’ experience in infrastructure, DevOps, or SRE-style engineering at scale.
  • Strong programming skills (Python, Go, or Rust).
  • Deep knowledge of Kubernetes, container orchestration, and distributed compute frameworks.
  • Experience with cloud environments (AWS, GCP, or Azure).
  • Proven ability to design and operate mission-critical infrastructure for large data or ML systems.
  • Excellent communication skills and a proactive, collaborative mindset.


Bonus Points

  • Background in compiler-style or query optimization.
  • Experience with real-time scheduling or streaming systems.
  • Knowledge of infrastructure-as-code and cost-optimization strategies.


Why Join

  • Competitive base + equity.
  • Comprehensive health and retirement benefits.
  • Relocation assistance available.
  • Work alongside some of the best systems engineers in the industry.
  • Build infrastructure that truly moves the needle in modern AI systems.


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