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FDE skills matrix
What Forward Deployed Engineer hiring loops actually probe — and how to level each skill from beginner to advanced.
Use this matrix to diagnose gaps before you apply. Pair it with the readiness assessment and a written case study for each weak row.
| Skill | Beginner | Intermediate | Advanced |
|---|---|---|---|
| Coding / full-stack | Ships features with review | Owns services end-to-end | Designs under hostile constraints |
| LLM / RAG / agents | Builds demos | Ships with evals & monitoring | Reliable under enterprise failure modes |
| Data & integration | CRUD + clean APIs | ETL, webhooks, quotas | Legacy + regulated data paths |
| Identity & security | Basic auth | SSO/OAuth in prod | Air-gapped / least-privilege design |
| Customer discovery | Takes requirements | Scopes PoCs with tradeoffs | Negotiates outcomes with execs |
| Communication | Clear status updates | Translates risk to non-technical | Pushback without burning trust |
| Outcome ownership | Ticket closed | Adoption / reliability metrics | Business impact & product feedback |
Hard skills that show up in 2026 JDs
- Languages: Python (FastAPI common), TypeScript/Node, SQL; Java appears at Palantir-like shops
- AI delivery: RAG patterns, tool-calling agents, eval frameworks, guardrails, cost/latency tradeoffs
- Platform: Docker/K8s basics, cloud IAM, observability (traces/logs/metrics)
- Enterprise glue: SAML/OIDC, webhooks, retry/idempotency, data quality debugging
Soft skills that fail interviews
- Cannot structure a messy customer problem in 10 minutes
- Optimizes for technical elegance over shippable slice
- Avoids conflict when the customer’s timeline is fantasy
- No examples of measuring adoption after launch
How to practice deliberately
- Pick two weak rows from the matrix
- Build a project that forces those skills (e.g. SSO + RAG + eval report)
- Write the story in interview form — see case / decomp
- Re-score yourself after two weeks; only then expand scope