• Deliver good software well • Design, write, review, test, and deploy code across our stack with quality and velocity, effectively incorporating AI coding tools productively and responsibly based on product needs and technical understanding • Develop and extend automated unit, integration, and end-to-end test suites • Collaborate on data modeling, application architecture, and technology decisions including what’s working, not working, and ideas for how to improve • Thoughtfully plan and estimate development, communicating tradeoffs and risks early • Participate in shared support duties and help maintain the reliability of our systems • Collaborate on pod purpose • Contribute to pod feature definition, design, and technical direction, not just execute against it • Improve documentation and knowledge sharing across the Engineering team • Partner with Product and Design to understand what we're building and why, and bring technical perspective into those conversations early • Grow with Intention • Actively seek mentorship and provide it where you can • Use Friday focus time to build skills that matter to your growth and our roadmap • Participate in learning and growth opportunities — book clubs, tech guru sessions, share & tells • Deepen your understanding of Spoiler Alert's industry, customers, and mission over time

• 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.