Teams at IP Fabric

Develop customer-facing, backend-leaning full-stack features for network data integrations. Design scalable systems, ingest third-party data, build integrations, own features from concept through delivery, improve reliability, and contribute to testing, architecture, and technical-debt reduction. Collaborate with Product, mentor engineers, and help shape engineering practices in a complex, data-heavy product environment.

Build and ship production AI features for network assurance use cases including change assurance, troubleshooting, compliance, and vulnerability detection. Own implementation, testing, deployment, and delivery of assigned features while contributing to shared AI infrastructure. Work with MCP and agentic frameworks, evaluate trade-offs, participate in technical reviews, and share AI engineering practices across the team.

Own and improve the company’s AI Gateway, including deploying models, integrating third-party providers, monitoring usage and costs, and optimizing routing and context compression. Make repositories agent-ready through skills, instructions, linters, CI guardrails, and software-factory capabilities. Build dashboards and internal tools, support AI adoption, contribute to product AI features, and partner with IT, Finance, and Legal on security and data governance.