feat(citadel): Phase 0 for Citadel Securities Platform Engineer, Zurich

Evidence Fit 74/100, Adjacent at the top of the band, hard gate PASS
with one flagged risk. Phase 1 not started - user asked for Phase 0 only.

The stack alignment is the best in the log: zero Gaps across all seven
minimum qualifications, and all five preferred technologies (Kafka,
Kubernetes, Spark, Airflow, distributed databases) are Direct and
production-current.

What holds it at 74 is that the title-defining function splits. R2 -
ingestion, transformation, storage and lifecycle management of large
datasets - is Direct and describes SW-1/SW-7 almost word for word. R1 -
design and build the distributed research platform itself - is Adjacent,
the same authoring-vs-building shape as Aker BP, and it cannot be
written around: Scope Discipline forbids pairing a full-ownership verb
with an org-scale object, so it can only be honestly bridged.

Recorded the classification conflict rather than hiding it.
application_strategy.md says a defining responsibility that is only
Adjacent makes the role Stretch; that strict reading applies to R1. It
is filed as Adjacent because R2 is equally title-defining and is Direct,
and because Aker BP set that precedent at 79. Both cohort slots are free
either way, so the label changes nothing operationally.

Corrections the user was right about, now recorded so a later run does
not repeat them: Go is NOT a gap, because Q3 is disjunctive and Python
satisfies it outright; and a production Kafka/K8s/Spark/Airflow estate
IS a distributed system, so Q4 is Direct rather than a stretch.

Two traps written down explicitly. The $175,000-350,000 base range is a
US pay-transparency disclosure under NY law and says nothing about the
Zurich figure - it must be asked, not assumed. And the sibling reqs that
web search surfaces as closer title matches (Research Platform - Data
Platform Engineer, Research Platform Infrastructure Engineer) are dead:
404 and Cloudflare-blocked, absent from the live board. Those Built In
listings are stale.

JD saved verbatim via Playwright; WebFetch returns 403 on this host.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MHtzyTKBcg6BWhD5qFegtK

CLAUDE.md

@@ -157,6 +157,7 @@ _Update this section when starting/finishing a JD._
 
 | Session | Status | Next Command |
 |---------|--------|-------------|
+| Citadel Securities — Platform Engineer, Research Platform Engineering, **Zürich** (also NY/Miami) | **PHASE 0 DONE 2026-08-25 — awaiting user decision, Phase 1 not started.** Evidence Fit **74/100 (Adjacent, top of band, 1 pt below Core)**, hard gate **PASS with a flagged risk**. **Zero Gaps among the 7 minimum quals**, and all five preferred technologies (Kafka, Kubernetes, Spark, Airflow, distributed DBs) are Direct — **the strongest raw stack alignment in the log**. Title-defining function **splits**: R2 (ingestion/transformation/storage/lifecycle of large datasets) is Direct and describes SW-1/SW-7 exactly; **R1 (design and build the research platform itself) is Adjacent** — the Aker BP authoring-vs-building shape again, and unwritable-around under Scope Discipline. **Classification caveat:** `application_strategy.md`'s "a defining responsibility is only Adjacent → Stretch" would strictly class this Stretch; recorded Adjacent per the Aker BP precedent. Both cohort slots free either way. Gaps: platform authoring at firm scale, no professional quant/finance (now partly mitigated by new **PP-1/PP-2**), SDKs (0 evidence), low-latency/HFT (0 evidence — thesis throughput figure is explicitly barred by `thesis_limits`). **Go is NOT a gap** — Q3 is disjunctive and Python satisfies it. **$175–350k in the posting is a US/NY pay-transparency disclosure, NOT the Zurich number — must be asked.** Channel **Weak/cold** — would be the 5th consecutive cold application, in an office visibly staffed from Google and ETH (platform research head Costas Bekas; Nicolai Meinshausen leads principal research). Cover letter: **YES** if it proceeds — the PP-1 domain story is the main differentiator and needs prose. | User decision: `/make-resume` Phase 1 to proceed, or record NO-GO. If proceeding, seek a warm channel first — cold is the one variable that has never worked |
 | SBB — Data Engineer (m/w/d), Asset Management Infrastrukturanlagen, **Bern** (Job ID 103755) | **SUBMITTED 2026-08-25.** Cohort slot: **Core (evidence-first-2026-01)**. 2pp English resume (13 bullets, validator PASS) + critique: **Document Quality 92/100** (90 at critique, +2 after Edit 1), hard gate PASS, no Tier 1 truth findings, **no outstanding fixes**. No cover letter — SBB waives it. Evidence Fit **79/100 (Core, lower end)**, hard gate **PASS** — the title-defining capability (build/operate cloud data pipelines and governed data products) is Direct and current, unlike the AWS FDE NO-GO. Best practical fit in the log: **Bern-based, German-language, no relocation, EU citizen + B permit**. Real strength cluster for the *vorausschauende Wartung* purpose — Bosch fab sensor/process data, ELK/Kafka anomaly detection, containerized ML inference, plus the condition-monitoring thesis. **Two open risks, both level/comp not fit:** (1) **Anforderungsniveau K** is a capped GAV band and the figures are not public — must be asked, not researched; (2) the seat reads **lateral or below** current Staff + Component Owner scope (same shape as the declined BKW). Named gaps: Snowflake, dbt, Argo Workflows, Helm, Power BI, Spring Boot, Angular — all non-canonical, survivable only because the JD prefixes the stack list with "z. B.". **Cover letter: NO — SBB explicitly waives it.** Channel: posting names **Andri Wienandts, People Leader, +41 79 364 62 53** — the first published warm entry point in the entire log. **The comp question was NOT resolved before submitting**, so the K band is now a live screening topic rather than a pre-cleared one; the same applies to Kidz Care childcare support (up to 90% of Betreuungskosten but scaled on *gross household* income, so realistically far less at this level — bracket table is intranet-only). | Prep an interview brief before any screening call: (1) Anforderungsniveau K band figures, (2) design/architecture scope vs current Staff + Component Owner level, (3) Kidz Care actual rate at this band. Named gaps to have honest answers for: Snowflake, dbt, Argo Workflows, Helm, Power BI |
 | AWS (AWS EMEA SARL, Switzerland Branch) — Senior Forward Deployed Engineer, Zürich (job 10504263) | **CLOSED — NO-GO 2026-08-18** at the Phase 0 gate. Evidence Fit **69/100** (Adjacent). Minimum-qual gate passed (all 4 Basic Quals Direct) but the *title-defining* capability — customer embedding — is a Gap that `claims.json` globally forbids claiming, and R2 multi-agent/retrieval is a second Gap. User declined: **69 is below the fit bar worth spending a package on.** Consistent with revealed behaviour — every application actually submitted scored **77.5–89**; nothing below 75 has ever been sent. **No cohort slot consumed (Adjacent stays 1/2).** Phase 0 analysis retained in the session file for reuse if a better-fitting AWS req appears. | Done — no package built |
 | Google — Forward Deployed Engineer III, Google Cloud GTM (French, German), Zürich (req 78350205438567110) | **CLOSED — NOT PROCEEDING 2026-08-18.** Phase 0 was done (Evidence Fit 67/100, hard gate PASS) but user declined to proceed after **two Google rejections** (Merchant Data Science, Business Home): the bar is now that a Google req must fit *very* well to be worth a third attempt, and this one was Adjacent with an agent-orchestration Gap. **Frees the Adjacent cohort slot (back to 1/2).** Phase 1 never started. | Done — do not reopen without a materially stronger Google req |