• Improve the end-to-end experience for new customers adopting the Pantheon platform • Interface with almost every department on high priority initiatives • Revamp how customers discover, evaluate, onboard and get value from our product • Work on technologies like Python services and our GraphQL gateway • Manage authentication and authorization systems using Auth0 • Utilize infrastructure managed with Terraform on Google Cloud

• Own the end-to-end architecture of the eBPF-based routing simulation layer, including XDP and TC hook point design, BPF map structure, and synthetic ICMP TTL-exceeded generation that makes traceroute and MTR behave correctly against the simulated topology • Design and build the control-plane topology database and the pipeline that compiles real-world internet topology data into a form that in-range agents can consume and apply • Architect the in-range proxy agent: the lightweight component that bridges the persistent control plane to individual cyber ranges, applying topology configuration locally and handling DNS delegation and traffic forwarding • Define the interface contract between the control plane and in-range agents, including topology update propagation, graceful degradation when control plane connectivity is interrupted, and agent lifecycle management • Serve as technical lead for the team — making daily architectural decisions across the full service scope, conducting design reviews, and maintaining engineering quality across all four engineering roles on the team • Partner with other Engineers on novel simulation challenges, bring independent judgment to architectural tradeoffs, and shape the technical roadmap • Mentor engineers on the team, raising the bar on systems design, kernel-level debugging, and engineering rigor • Collaborate with adjacent platform teams on the operational model for a long-lived, multi-tenant service serving active cyber range deployments

• Ship customer-facing AI features across the full stack. • Treat AI output as something you verify, not assume. • Sweat the front-end craft. • Stay close to customers. • Own outcomes, not just output. • Co-author the solution. • Own production readiness from the start. • Use AI tools every day as part of your craft. • Help us hire.

• Contribute to building and maintaining agentic AI workflows using LangGraph. • Design and extend our growing library of MCP servers. • Improve the RAG pipelines that power our knowledge-retrieval systems, primarily in Python. • Work closely with a tight-knit team where your ideas carry weight and your contributions are visible.