AI Security Infrastructure Engineer

Gray Swan; United States; On-site; 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 high-p

Job summary

Gray Swan is building an AI security platform and is seeking an Infrastructure Engineer to design, build, and scale backend services and distributed systems in production.

You will own cloud infrastructure across Kubernetes, AWS, networking, storage, and compute, and collaborate with ML, security, and product teams to deliver reliable, scalable infrastructure for AI workloads. This role offers ownership and impact in a fast-moving 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 cloud platforms such as AWS, GCP, or Azure.
• Deep understanding of networking, distributed systems, containers, service orchestration, and scalable architectures.
• Experience designing APIs, microservices, asynchronous systems, and event-driven architectures.
• Comfortable debugging complex production issues and improving reliability through automation and operational excellence.
• Passionate about writing clean, maintainable code and building infrastructure that other engineers love using.

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

Distributed systems

Backend development

Cloud platforms

Programming languages

Tools

Kubernetes

AWS

GCP

Azure

Kafka

Redis

PostgreSQL

ClickHouse

Job description

Gray Swan is building an AI security platform and is seeking an Infrastructure Engineer to design, build, and scale backend services and distributed systems in production.

You will own cloud infrastructure across Kubernetes, AWS, networking, storage, and compute, and collaborate with ML, security, and product teams to deliver reliable, scalable infrastructure for AI workloads. This role offers ownership and impact in a fast-moving startup.