Infrastructure Engineer

Harnham; New York (NY); On-site; USD 200,000 - 440,000; Full time

Job summary

Harnham is seeking a Software Engineer - Infrastructure in New York City to join a fast-growing AI technology company. The role focuses on designing and building high-performance, low-latency infrastructure systems that support large-scale computation, while collaborating closely with engineers and researchers.

This position offers a salary range of $200,000 to $440,000 plus equity. Candidates should have strong experience in infrastructure systems and a proven background in performance optimization.

Qualifications

• Strong experience solving engineering problems at the infrastructure or platform level.
• Proven background building scalable systems used by large engineering teams.
• Deep focus on performance, reliability, and developer experience.

Responsibilities

• Design and build high-performance, low-latency infrastructure systems.
• Scale and maintain reliable data ingestion pipelines.
• Identify and resolve architectural inefficiencies across distributed systems.

Skills

Problem-solving at the infrastructure level

Building scalable systems

Performance optimization

Networking protocols

Production environments

Job description

Title: Software Engineer - Infrastructure

Location: New York City (Onsite, 5 days/week)

Compensation: $200,000 - $440,000 base + equity

Overview

A fast‑growing AI technology company operating at the frontier of large‑scale predictive systems is seeking an Infrastructure Software Engineer to help scale and optimise its core computational platforms. The company builds advanced simulation and intelligence products used by enterprise and research‑driven customers to make high‑impact decisions in complex environments. This is a high‑ownership role within a small, elite engineering team where performance, reliability, and speed of execution are critical. Engineers are expected to operate with autonomy, intellectual rigour, and a strong bias toward production‑ready systems.

Responsibilities

• Design and build high‑performance, low‑latency infrastructure systems that support large‑scale computation
• Scale and maintain reliable data ingestion pipelines across diverse data sources
• Identify and resolve architectural inefficiencies across distributed systems
• Improve system reliability, observability, and performance at the infrastructure layer
• Partner closely with engineers and researchers to productionise experimental systems
• Architect and implement infrastructure solutions that increase decision‑making speed and system throughput

Must‑Have Qualifications

• Strong experience solving engineering problems at the infrastructure or platform level
• Proven background building scalable systems used by large engineering teams
• Deep focus on performance, reliability, and developer experience
• Experience working with statically typed or algebraic type system languages
• Practical understanding of networking protocols and their limitations
• Experience transitioning research or experimental systems into production environments