FNAV IDEAL CANDIDATE
Grouped by domains, where % corresponds to how important that domain expertise is
to us. AI native engineers should be able to own the full vertical stack from development
to delivery.
ARCHITECTURE AND ENGINEERING JUDGMENT - 35%
Skills: Full-stack ownership, system design, observability, security, and performance
metrics.
Technologies: DNS, HTTPS/TLS, F5 LTM, F5 NGINX Ingress, nginx, OIDC, OAuth 2.0,
WebSockets, Valkey (caching strategies), SQL Server integrations, OpenAPI/Swagger
design, Go slog design.
TESTING - 20%
Skills: Selecting valuable unit, component, integration, and end-to-end tests;
TDD, performance testing, and quality CI gates.
Technologies: Go testing, net/http/httptest, go-sqlmock, Vitest, React Testing
Library, user-event, jest-dom, jsdom, Playwright, ESLint, Stylelint, golangci-lint, gofmt,
go vet.
AI TOOLING - 15%
Skills: Models versus harnesses, skills versus MCP tools, LLM APIs versus coding
agents, prompt/context design, retrieval, permissions, review, and validation.
Technologies: Codex CLI, Claude Code, MCP server mechanics, agent skills and
instructions, semantic encoding for rag retrievals
KUBERNETES AND CONTAINERS - 15%
Skills: Container builds, Kubernetes workloads and networking, environment
configuration, health probes, rollouts, troubleshooting, and delivery pipelines.
Technologies: Docker, Podman, Kubernetes Deployments, Pods, StatefulSets,
Services, Ingress, ConfigMaps, Secrets, NetworkPolicies, persistent volumes,
Kustomize, kubectl, GitHub Actions, JFrog Artifactory, JFrog Xray, Prisma Cloud.
GO AND REACT - 15%
Skills: Go API architecture, SQL repositories, React component architecture,
server state, forms, validation, accessibility, and enterprise workflows.
Technologies: Go 1.26, Chi, net/http, sqlx, go-mssqldb, React 19, TypeScript 5,
Vite, React Router, PrimeReact, PrimeFlex, TanStack Query, TanStack Table, React
Hook Form, Zod, Sass/SCSS, ECharts, Quill, DOMPurify.