Infrastructure Engineer: Scale-Ready, Low-Latency Systems

Aaru

New York (NY)

On-site

USD 250,000 - 800,000

Full time

7 days ago
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Benefits offered by this job

Visa sponsorship
Relocation support
Comprehensive medical, vision, andd</

Job summary

Aaru is seeking an infrastructure engineer in New York City to build, optimize, and scale our simulation systems. You will work across compute, networking, data pipelines, and developer tooling to remove bottlenecks and enable faster, more reliable experiments.

You will own infrastructure decisions, collaborate with research teams, and help transition cutting-edge concepts into production-ready systems at a rapidly growing startup.

Qualifications

  • Built infrastructure, frameworks, or internal platforms for fast-growing engineering teams.
  • Deep experience debugging performance and reliability issues in distributed systems.
  • Comfortable with networking, storage, compute, and cloud primitives.
  • Helped transition research or experimental systems into production.
  • Care about developer experience and build systems engineers want to use.
  • Comfortable with strongly typed languages or languages with algebraic type systems.

Responsibilities

  • Design and build low-latency, high-throughput infrastructure for large-scale simulations
  • Improve the reliability and performance of data ingestion and computation pipelines
  • Identify system bottlenecks across compute, networking, storage, and orchestration
  • Build tools and abstractions that help engineering and research teams move faster
  • Productionize experimental research workflows into reliable, repeatable infrastructure
  • Own infrastructure decisions from architecture through implementation and operation

Skills

Distributed systems
Performance debugging
Networking concepts
Cloud infrastructure
Developer experience
Typed languages

Job description

Aaru is seeking an infrastructure engineer in New York City to build, optimize, and scale our simulation systems. You will work across compute, networking, data pipelines, and developer tooling to remove bottlenecks and enable faster, more reliable experiments.

You will own infrastructure decisions, collaborate with research teams, and help transition cutting-edge concepts into production-ready systems at a rapidly growing startup.

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