Infrastructure Engineer for AI Security Platform

Gray Swan; Pittsburgh (Allegheny County); Hybrid; USD 180,000 - 290,000; Full time

Benefits offered by this job

401k with up to 4% matching

28 days annual leave

Health, dental, and vision coverage

Catered lunches (Pittsburgh office)

Flexible work arrangements

Visa sponsorship available for extreme

Job summary

Gray Swan is seeking an Infrastructure Engineer in Pittsburgh to design, build, and scale the backend systems powering our AI security platform. You’ll own cloud infrastructure, Kubernetes clusters, and platform services, delivering reliable, observable, and secure workloads for frontier AI models.

You will collaborate with ML engineers, security researchers, and product teams to drive performance, scalability, and cost efficiency while shaping the technical direction in a fast-growing startup.

Qualifications

• 5+ years of experience building backend infrastructure or distributed systems in production environments.
• Strong programming skills in C/C++, Go, Python, Rust, or Java.
• Experience operating services on Kubernetes and modern cloud platforms such as AWS, GCP, or Azure.

Responsibilities

• Design, build, and maintain highly available backend services and distributed systems that power Gray Swan's AI security platform.
• Own cloud infrastructure across Kubernetes, AWS, networking, storage, and compute to ensure reliable production environments.
• Build scalable APIs, internal platform services, and infrastructure tooling that improve developer productivity and system reliability.
• Improve system observability through logging, metrics, tracing, dashboards, and automated alerting.
• Optimize performance, latency, and infrastructure costs while maintaining reliability and security.
• Partner closely with machine learning, security, and product engineering teams to deliver production-ready infrastructure for AI workloads.

Skills

C/C++

Go

Python

Rust

Java

Tools

Kubernetes

AWS

GCP

Azure

Job description

Gray Swan is seeking an Infrastructure Engineer in Pittsburgh to design, build, and scale the backend systems powering our AI security platform. You’ll own cloud infrastructure, Kubernetes clusters, and platform services, delivering reliable, observable, and secure workloads for frontier AI models.

You will collaborate with ML engineers, security researchers, and product teams to drive performance, scalability, and cost efficiency while shaping the technical direction in a fast-growing startup.