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Hypercubic

AI-native platform for mainframe maintenance

Founding Software Engineer - Backend

Backend EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Experience building complex agentic products or infrastructure.
  • Comfort operating across abstraction layers, from low-level system reasoning to high-level interactions.
  • Ability to translate ambiguous problem statements into concrete experiments, constraints, and working systems.
  • Ability to prototype ideas quickly and build enterprise-grade features to a high-quality bar.
  • Track record of working in fast-paced environments with urgency.

Responsibilities

  • Rapidly prototype new concepts and features to validate ideas before full implementation.
  • Ship AI-driven features end to end, from model interaction to user-facing workflows.
  • Set early engineering standards around testing, reliability, and code quality.
  • Lead architecture decisions and long-term technical direction with the CTO.
  • Collaborate with subject matter experts and customers across industries, including banking, insurance, and airlines.

Desired Qualifications

  • Strong testing intuition, including test-driven development and property-based testing.
  • Experience building and maintaining production-grade agentic or autonomous systems.
  • Exposure to legacy systems, especially mainframes or COBOL, compilers, program analysis techniques, or high-performance computing.
  • Familiarity with enterprise software constraints.

About the Company

Hypercubic

AI-native platform for mainframe maintenance

Hypercubic builds an AI-native platform to maintain and modernize mainframe systems. It helps large organizations manage aging, critical software by capturing and preserving expert knowledge and workflows in a digital form. The core tools are HyperTwin, which collects tacit knowledge and real-time procedures from experts, and HyperDocs, which creates continuously updated documentation for complex systems. The platform creates a digital twin of operations so users can get instant, cited answers to questions, speeding onboarding and reducing risk when experts leave. It integrates with existing enterprise tools like Slack, Confluence, Jira, and GitHub to fit into current workflows. The goal is to protect institutional knowledge of legacy systems and improve efficiency and reliability across IT operations.

Company size
1-10
Company stage
Seed
Total funding
$5.4M
Headquarters
San Francisco, CA
Founded
2025

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