Infrastructure Engineer and SRE
Superblocks is an enterprise platform for building and governing AI-generated internal applications.
Maintainer signals as of 9/2/2026
Projects
About Superblocks
Superblocks provides a governed enterprise AI app platform for organizations that need business teams to build internal software on private enterprise data without bypassing IT controls. Its Clark AI agent generates applications, queries, and logic in natural language, while the platform provides centralized integrations, secrets management, RBAC, SSO, audit logs, version control, and deployment options including cloud, hybrid, and Cloud-Prem deployments inside customer VPCs. It serves enterprise IT, platform engineering, operations, finance, HR, marketing, and data teams, including organizations with stringent security and compliance requirements.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Design and operate secure, scalable infrastructure for AI workloads, including untrusted code execution, parallel AI-agent runtimes, multi-cloud and customer VPC deployments, observability, and enterprise integrations.
Requirements
- Strong background in distributed systems, scalability, multi-cloud architecture, and security
- Experience with operating systems, containers, Kubernetes, cloud networking, and event-driven runtimes such as Knative or KEDA
- Experience designing, building, and operating large-scale infrastructure
- Passion for building simple, elegant solutions to hard systems problems
- Strong zero-to-one mindset
Responsibilities
- Design systems for large-scale untrusted code execution and sandboxing
- Build massively parallel AI-agent runtime and scheduling systems
- Design multi-cloud and customer VPC deployment architecture
- Develop highly reliable distributed systems with strict security and data guarantees
- Implement observability across AI workflows and infrastructure
- Build enterprise-grade integration and metadata platforms
- Define how AI systems run safely in production