Infrastructure Engineer / SRE New York, United States

Superblocks; New York (NY); On-site; USD 175,000 - 275,000; Full time

Job summary

A pioneering technology company in New York is seeking experts in distributed systems to design scalable AI solutions. You will work on large-scale systems that redefine how AI runs safely in production. This role requires a strong background in multi-cloud architecture, security, and the ability to solve complex infrastructure problems. With a competitive salary range of $175,000 – $275,000, this position offers the chance to shape future AI development.

Qualifications

• Strong background in distributed systems, scalability, multi cloud architecture, and security.
• Experience with operating systems, containers, K8s, cloud networking, and event driven runtimes.
• Passion for building simple, elegant solutions to hard systems problems.

Responsibilities

• Design systems that make AI fast, safe, and scalable at global scale.
• Define how AI systems run in production safely.
• Work on problems where traditional infrastructure patterns break.

Skills

Distributed systems

Scalability

Multi cloud architecture

Security

Operating systems

Containers

Cloud networking

Event driven runtimes

Job description

Superblocks is building the frontier platform that enables a billion non-engineers to create software with AI. We are reinventing how enterprises build internal systems and redefining the future of SaaS.

Our platform runs massive parallel AI agents, executes untrusted code securely, and integrates deeply with enterprise systems across clouds. Reliability here is not a support function. It is the product.

You will design systems that make AI fast, safe, and scalable at global scale.

What you will work on

• Large scale untrusted code execution and sandboxing
• Massively parallel AI agent runtime and scheduling systems
• Multi cloud and customer VPC deployment architecture
• Right now we are looking for two main roles: Highly reliable distributed systems with strict security and data guarantees
• Deep observability across AI workflows and infrastructure
• Enterprise grade integration and metadata platforms

What we look for

• Strong background in distributed systems, scalability, multi cloud architecture, and security
• Experience with operating systems, containers, K8s, cloud networking, and event driven runtimes like Knative or KEDA
• Passion for building simple, elegant solutions to hard systems problems
• Experience designing, building, and operating large scale infrastructure
• Strong zero to one mindset

Why this role matters

• You will define how AI systems run in production safely
• You will work on problems where traditional infrastructure patterns break
• You will define the operating system for future AI development

Compensation

The base pay range for this role is $175,000 – $275,000 per year.