Infrastructure Engineer & SRE

Superblocks

$130K — $160K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong background in distributed systems and scalability.
  • Experience with multi-cloud architecture and security measures.
  • Familiarity with operating systems, containers, and Kubernetes.
  • Understanding of cloud networking and event-driven runtimes.
  • Passion for creating elegant solutions to complex problems.
  • Track record of building and maintaining large-scale infrastructure.
  • Demonstrated zero to one mindset for innovative development.

Responsibilities

  • Design systems for safe and scalable AI deployment.
  • Develop large-scale untrusted code execution and sandboxing solutions.
  • Create massively parallel AI agent runtime and scheduling systems.
  • Build architecture for multi-cloud and customer VPC deployments.
  • Ensure high reliability in distributed systems with data guarantees.
  • Implement deep observability across AI workflows and infrastructure.
  • Integrate enterprise-grade metadata platforms.

Benefits

  • Opportunity to define AI runtime in production environments.
  • Work on cutting-edge problems beyond traditional infrastructure limits.
  • Influence the future operating system for AI development.
Full Job Description
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

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