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Superblocks

Infrastructure Engineer / SRE

Posted 6 Days Ago
In-Office
New York City, NY
175K-275K Annually
Expert/Leader
In-Office
New York City, NY
175K-275K Annually
Expert/Leader
Design and implement large-scale distributed systems that integrate AI safely and reliably, focusing on infrastructure, observability, and security.
The summary above was generated by AI
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.

Top Skills

Cloud Networking
Containers
Distributed Systems
Event Driven Runtimes
Keda
Knative
Kubernetes
Multi Cloud Architecture
Operating Systems
Scalability

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