fix(scout): repair Roche/Apple, add Amazon+Axpo, make title filtering fail-open

Scraper fixes:
- Roche: new fetch_phenom adapter (Phenom refineSearch). The old playwright scrape
  of ?locationsearch=Switzerland harvested recommendation-widget cards (Shanghai,
  Kyiv, Bogota) while the page reported no-results. 0 -> 88 CH-eligible roles.
- Apple: dropped default_location "Switzerland", which relabelled US "Various
  Locations" postings as Swiss (84 phantom CH rows over 4 runs). Now honestly 0.
- Meta: NOT broken — metacareers reports "1 Items" for Zurich. Comment added so it
  is not "fixed" again.

New boards:
- Amazon/AWS (fetch_amazon): 32 CH roles incl. a Zurich AWS FDE req and a Bern
  ProServe Cloud Architect. AWS is the evidenced cloud; claims.json forbids GCP.
- Axpo (teamtailor via base_url + pagination): 461 roles, opens the energy lane.
  Locations read from schema.org jobLocation with ISO alpha-2 expanded, so
  Madrid/Milan/Warsaw roles are not marked Swiss. Telenor benefits too.

Title filtering now has two explicit modes. Inclusion allowlists fail closed and
hide unanticipated good-fit roles, so they are now used only where volume forces
it (>~200 roles). Everything else uses the shared, board-agnostic
NOISE_TITLE_EXCLUDE, which fails open and leaves the final call to the scorer and
the reviewer. Palantir stays unfiltered per its existing documented rationale.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

job_scout/ROSTER_REVIEW_2026-08-18.md

@@ -1,6 +1,10 @@
 # Scout roster review — 2026-08-18
 
-Analysis only. No changes made to `COMPANIES`. Every claim below was verified by probing the
+> **Status: implemented 2026-08-18.** Sections 1, 2 and 5 have been acted on; see
+> "What was actually done" at the bottom, which also records two findings in this
+> document that turned out to be **wrong** once the fixes were attempted.
+
+Originally analysis only. Every claim below was verified by probing the
 live endpoint; unverified candidates are listed separately as *probe-worthy*, not as recommendations.
 
 Method: aggregated the scan-stats tables from the four most recent full runs (2026-07-14, 07-27,
@@ -134,3 +138,68 @@ rules out the Geneva traders.
 4. **Add title filters** to BKW, SBB, BFH, PostFinance, Swissgrid, Novartis, Palantir.
 5. **Decide on MET/LDC and the Norway three** — a judgment call, not a bug.
 6. Probe CERN, Swiss Post, NATO NCIA, SIX.
+
+
+---
+
+# What was actually done (2026-08-18)
+
+Implementing the recommendations disproved two of them. Both corrections are recorded here
+rather than quietly edited above, because the original claims were used to justify the work.
+
+## Correction 1 — Meta is NOT broken
+
+Section 1 listed Meta as returning garbage. It does not. `metacareers.com` itself reports
+**"1 Items"** for the Zurich office filter — the board is genuinely near-empty and the scraper
+reports it accurately. No change made beyond a comment recording the verification, so it is
+not "fixed" again later. Roche and Apple were real bugs; Meta was not.
+
+## Correction 2 — inclusion filters were the wrong instrument
+
+Section 2 recommended adding `_title_filter` allowlists to seven boards. That was implemented
+and then **reversed**, on the objection that an allowlist *fails closed*: a strong-fit role
+with a title nobody anticipated is dropped at fetch time, never scored, and appears in no
+report and no JSON dump. The final call should sit with the scorer and the reviewer, not a
+keyword gate.
+
+Filtering is now two explicit modes:
+
+| Mode | Behaviour | Where |
+|---|---|---|
+| `_title_exclude` (**default**) | Fails **open** — drops only unambiguous non-tech titles (`hausdienst`, `physiotherapie`, `violine`, `lehrstelle`, `legal counsel`…). Everything else is scored. | 14 boards |
+| `_title_filter` | Fails **closed** — allowlist, used only where volume makes full scoring impractical (>~200 roles) | Databricks, Snowflake, Datadog, Elastic, Fivetran, Louis Dreyfus |
+
+`NOISE_TITLE_EXCLUDE` is one shared, board-agnostic list. Terms that could plausibly attach to
+a technical role (analyst, manager, specialist, consultant, architect, lead) are deliberately
+excluded from it.
+
+Also corrected: BKW's 61/75 match rate was blamed on the missing filter. The real cause is
+`_score_floor: 2`, set deliberately because the English keyword scorer cannot read German
+titles. The floor was left in place.
+
+## Fixes shipped
+
+- **Roche** — new `fetch_phenom` adapter (Phenom `refineSearch`). Was 40 scraped / 0 Swiss;
+  now **133 scraped, 88 CH-eligible, 25 matches**.
+- **Apple** — removed `default_location: "Switzerland"`, which was relabelling US "Various
+  Locations" postings as Swiss. Now honestly reports **0 CH-eligible**.
+- **Amazon / AWS** — new `fetch_amazon` adapter. **32 CH roles, 29 eligible, 13 matches**,
+  including the Zurich AWS FDE req and a Senior ProServe Cloud Architect in **Bern**.
+- **Axpo** — `fetch_teamtailor` extended for custom domains and pagination. 461 roles.
+  Locations now come from the feed's schema.org `jobLocation`, with ISO alpha-2 expanded to
+  full country names — without that, `"Burgdorf, CH"` failed the CH keyword match, and a
+  forced `default_location` would have marked ~380 Madrid/Milan/Warsaw roles as Swiss (the
+  Apple bug again). Telenor gained real locations from the same change.
+- **Filter modes** as described above, plus `artificial intelligence`, `data scientist`,
+  `data-driven`, `ai engineer`, `ai platform`, `ai architect`, `ai-systems`, `data science`
+  added to the shared allowlist. Bare `"ai"` deliberately omitted — it substring-matches
+  *Maintenance*, *Training*, *Chair*.
+- **Palantir left unfiltered** — its entry already documents why (its target titles, e.g.
+  "Deployment Strategist", are not in the allowlist). The original recommendation to filter it
+  would have hidden exactly the roles worth seeing.
+
+## Still open (deliberately not done)
+
+- **Section 4 judgment calls**: MET Group + Louis Dreyfus, and the three Norway companies.
+  These are preference decisions, not bugs.
+- **Section 7 probes**: CERN, Swiss Post, NATO NCIA, SIX Group.

job_scout/_ap.py

@@ -0,0 +1,20 @@
+import io
+from playwright.sync_api import sync_playwright
+out = io.open('_ap_out.txt', 'w', encoding='utf-8')
+with sync_playwright() as p:
+    b = p.chromium.launch()
+    pg = b.new_page()
+    calls = []
+    pg.on('response', lambda r: calls.append((r.request.method, r.url, r.status,
+                                              r.headers.get('content-type', ''), r.request.post_data)))
+    pg.goto('https://jobs.apple.com/en-us/search?location=switzerland-CHE',
+            wait_until='domcontentloaded', timeout=60000)
+    pg.wait_for_timeout(10000)
+    for m, u, st, ct, pd in calls:
+        if 'jobs.apple.com' in u and ('api' in u or 'search' in u or 'graphql' in u):
+            out.write('%s %s [%s] %s\n' % (m, u[:170], st, ct[:40]))
+            if pd: out.write('   POST %s\n' % pd[:400])
+    out.write('---- page text ----\n')
+    out.write(pg.inner_text('body')[:1200])
+    b.close()
+out.close()

job_scout/_ap_out.txt

@@ -0,0 +1,82 @@
+GET https://jobs.apple.com/en-us/search?location=switzerland-CHE [200] text/html; charset=utf-8
+GET https://jobs.apple.com/public/images/search-grey.svg [200] image/svg+xml
+GET https://jobs.apple.com/public/images/saved-search-blue.svg [200] image/svg+xml
+GET https://jobs.apple.com/public/images/saved-search-grey.svg [200] image/svg+xml
+---- page text ----
+Apple
+Store
+Mac
+iPad
+iPhone
+Watch
+Vision
+AirPods
+TV & Home
+Entertainment
+Accessories
+Support
+0
++
+Careers at Apple
+Work at Apple
+Life at Apple
+Profile
+Sign In
+Search
+Find your perfect role.
+To reveal list of choices, type
+
+Most corporate roles require English-language skills.
+
+Filters
+Clear all
+Refine by
+Location
+1
+1 Filter(s) Applied
+Keyword
+0 Filter(s) Applied
+Teams
+0 Filter(s) Applied
+Products and Services
+0 Filter(s) Applied
+Language Skills
+0 Filter(s) Applied
+1 Filter(s) Applied
+Save Search
+Chesterfield, Missouri, United States
+text
+Search Results
+
+24 Result(s)
+
+Sort by: Newest
+US - Specialist: Seasonal, Part-time
+Apple Retail
+Aug 18, 2026
+Location
+Various Locations within United States
+Actions
+MBA Internships
+Students
+Aug 05, 2026
+Location
+Various Locations within United States
+Actions
+Machine Learning and Artificial Intelligence Masters Internships
+Students
+May 22, 2026
+Location
+Various Locations within United States
+Actions
+Machine Learning and Artificial Intelligence PhD Internships
+Students
+May 22, 2026
+Location
+Various Locations within United States
+Actions
+Business, Marketing & Creative Masters Internships
+Students
+May 22, 2026
+Location
+Various Locations within United St

job_scout/_fix_out.txt

@@ -0,0 +1,33 @@
+== roche
+  POST https://careers.roche.com/widgets
+     POST {"deviceType":"desktop","locale":"en_global","pageId":"page11-ds","refNum":"ROCHGLOBAL","siteVariant":"external","ddoKey":"dynaData"}
+  POST https://careers.roche.com/widgets
+     POST {"data":{"hf-krisztian-test":"KZFVv6","hf-krisztian-test$$z4HDz3vS":"gbobHe","hf-krisztian-test$$4HDz3vS":"fmAme4","hf-krisztian-test$$Aq1abxJ":"q1abxJ","hf-krisztian-test$$Ahl5Fa2":"hl5Fa2","poIIrO":"ph-cookie-popup-v2-default","Zvv6ZI":"ph-paragraph-cc-view1-option1-theme1","CUbexW":"ph-hero-block-cc-view12-option1-theme1","":"ph-page-state-data-v1-no-results-ROCHGLOBAL-en_global-page11","JSx8eq":"ph-global-search-v3-default","r7iov4":"ph-page-state-data-v1-no-results-ROCHGLOBAL-en_global-page11","zdessz":"ph-category-overview-v3-view8","w9gb8n":"ph-skills-v1-default","x25c65":"ph-facets-v1-
+  POST https://careers.roche.com/widgets
+     POST {"lang":"en_global","deviceType":"desktop","country":"global","pageName":"search-results","pageId":"page11-ds","data":[{"widgetTag":"ph-cookie-popup-v2","view":"default","instanceId":"poIIrO"},{"widgetTag":"ph-global-search-v3","view":"default","instanceId":"JSx8eq"},{"widgetTag":"ph-page-state-data-v1","view":"no-results-ROCHGLOBAL-en_global-page11","instanceId":"r7iov4"},{"widgetTag":"ph-category-overview-v3","view":"view8","instanceId":"zdessz"},{"widgetTag":"ph-skills-v1","view":"default","instanceId":"w9gb8n"},{"widgetTag":"ph-facets-v1","view":"view3","instanceId":"x25c65"},{"widgetTag":
+  POST https://careers.roche.com/widgets
+     POST {"widgetIds":["KZFVv6","gbobHe","fmAme4","q1abxJ","hl5Fa2","ph-cookie-popup-v2-default","ph-paragraph-cc-view1-option1-theme1","ph-hero-block-cc-view12-option1-theme1","ph-global-search-v3-default","ph-page-state-data-v1-no-results-ROCHGLOBAL-en_global-page11","ph-category-overview-v3-view8","ph-skills-v1-default","ph-facets-v1-view3","ph-create-job-alert-v1-default","ph-content-cc-view4-option5-theme1","ph-search-results-v2-view5","BgxJYk","0tOMrd","m5IDBJ"],"refNum":"ROCHGLOBAL","lang":"en_global","deviceType":"desktop","pageName":"search-results","siteType":"external","pageId":"page11-ds","
+  POST https://careers.roche.com/widgets
+     POST {"lang":"en_global","deviceType":"desktop","country":"global","pageName":"search-results","pageId":"page11-ds","ddoKey":"getWidgetVersions"}
+  POST https://careers.roche.com/widgets
+     POST {"refNum":"ROCHGLOBAL","lang":"en_global","deviceType":"desktop","pageName":"search-results","siteType":"external","pageId":"page11-ds","country":"global","ddoKey":"getTriggerConfig"}
+  POST https://careers.roche.com/widgets
+     POST {"lang":"en_global","deviceType":"desktop","country":"global","pageName":"search-results","refNum":"ROCHGLOBAL","siteType":"external","pageId":"page11-ds","ddoKey":"jobCartCountV2"}
+  POST https://careers.roche.com/widgets
+     POST {"lang":"en_global","deviceType":"desktop","country":"global","pageName":"search-results","refNum":"ROCHGLOBAL","siteType":"external","pageId":"page11-ds","ddoKey":"validateJwtToken"}
+  POST https://careers.roche.com/widgets
+     POST {"lang":"en_global","deviceType":"desktop","country":"global","pageName":"search-results","refNum":"ROCHGLOBAL","siteType":"external","pageId":"page11-ds","ddoKey":"getPrivacyConsentsConfig"}
+  POST https://careers.roche.com/widgets
+     POST {"lang":"en_global","deviceType":"desktop","country":"global","pageName":"search-results","pageId":"page11-ds","data":{"poIIrO":"ph-cookie-popup-v2-default","JSx8eq":"ph-global-search-v3-default","r7iov4":"ph-page-state-data-v1-no-results-ROCHGLOBAL-en_global-page11","zdessz":"ph-category-overview-v3-view8","w9gb8n":"ph-skills-v1-default","x25c65":"ph-facets-v1-view3","oiyn2y":"ph-create-job-alert-v1-default","zcduui":"ph-search-results-v2-view5"},"ddoKey":"canvasGetWidgetContent"}
+  GET https://content-ir.phenompeople.com/api/ROCHGLOBAL/jobwidgetsettings?locale=en_global&siteType=external&deviceType=desktop&
+  POST https://careers.roche.com/widgets
+     POST {"lang":"en_global","deviceType":"desktop","country":"global","pageName":"search-results","ddoKey":"validateJwtToken"}
+  POST https://careers.roche.com/widgets
+     POST {"lang":"en_global","deviceType":"desktop","country":"global","pageName":"search-results","ddoKey":"eagerLoadRefineSearchSession","sortBy":"","subsearch":"","from":0,"irs":false,"jobs":true,"counts":true,"all_fields":["category","subCategory","country","state","city","type","jobLevel","jobType"],"size":10,"clearAll":false,"jdsource":"facets","isSliderEnable":false,"pageId":"page11-ds","siteType":"external","keywords":"","global":true,"selected_fields":{},"locationData":{}}
+  POST https://careers.roche.com/widgets
+     POST {"lang":"en_global","deviceType":"desktop","country":"global","pageName":"search-results","ddoKey":"getJobStatusListV2","jobSeqNos":["ROCHGLOBAL202603108085EXTERNALENGLOBAL","ROCHGLOBAL202510127711EXTERNALENGLOBAL","ROCHGLOBAL202601100377EXTERNALENGLOBAL","ROCHGLOBAL202509122078EXTERNALENGLOBAL","ROCHGLOBAL202603106148EXTERNALENGLOBAL","ROCHGLOBAL202206125077EXTERNALENGLOBAL","ROCHGLOBAL202210136501EXTERNALENGLOBAL","ROCHGLOBAL202311124191EXTERNALENGLOBAL","ROCHGLOBAL202312128405EXTERNALENGLOBAL","ROCHGLOBAL202405113331EXTERNALENGLOBAL"]}
+  GET https://content-ir.phenompeople.com/api/ROCHGLOBAL/globalSearchConfig?locale=en_global&siteType=external&deviceType=desktop&
+  POST https://careers.roche.com/widgets
+     POST {"lang":"en_global","deviceType":"desktop","country":"global","pageName":"search-results","ddoKey":"getJobStatusListV2","jobSeqNos":["ROCHGLOBAL202603108085EXTERNALENGLOBAL","ROCHGLOBAL202510127711EXTERNALENGLOBAL","ROCHGLOBAL202601100377EXTERNALENGLOBAL","ROCHGLOBAL202509122078EXTERNALENGLOBAL","ROCHGLOBAL202603106148EXTERNALENGLOBAL","ROCHGLOBAL202206125077EXTERNALENGLOBAL","ROCHGLOBAL202210136501EXTERNALENGLOBAL","ROCHGLOBAL202311124191EXTERNALENGLOBAL","ROCHGLOBAL202312128405EXTERNALENGLOBAL","ROCHGLOBAL202405113331EXTERNALENGLOBAL"]}
+== meta
+== apple

job_scout/_fix_probe.py

@@ -0,0 +1,31 @@
+import io, json
+from playwright.sync_api import sync_playwright
+SITES = {
+ 'roche': 'https://careers.roche.com/global/en/search-results?keywords=&locationsearch=Switzerland',
+ 'meta':  'https://www.metacareers.com/jobs?offices[0]=Zurich%2C%20Switzerland',
+ 'apple': 'https://jobs.apple.com/en-us/search?location=switzerland-CHE',
+}
+out = io.open('_fix_out.txt', 'w', encoding='utf-8')
+with sync_playwright() as p:
+    b = p.chromium.launch()
+    for k, u in SITES.items():
+        pg = b.new_page(); calls = []
+        def on_resp(r, calls=calls):
+            ct = r.headers.get('content-type', '')
+            if 'json' in ct and r.request.method in ('GET', 'POST'):
+                calls.append((r.request.method, r.url, r.request.post_data))
+        pg.on('response', on_resp)
+        try:
+            pg.goto(u, wait_until='domcontentloaded', timeout=60000)
+            pg.wait_for_timeout(9000)
+            pg.mouse.wheel(0, 5000); pg.wait_for_timeout(4000)
+            out.write('== %s\n' % k)
+            for m, url, pd in calls:
+                if any(w in url.lower() for w in ('search', 'job', 'graphql', 'widget', 'role')):
+                    out.write('  %s %s\n' % (m, url[:190]))
+                    if pd: out.write('     POST %s\n' % pd[:600])
+        except Exception as e:
+            out.write('== %s ERR %s\n' % (k, str(e)[:150]))
+        pg.close()
+    b.close()
+out.close()

job_scout/_mt.py

@@ -0,0 +1,21 @@
+import io
+from playwright.sync_api import sync_playwright
+out = io.open('_mt_out.txt', 'w', encoding='utf-8')
+with sync_playwright() as p:
+    b = p.chromium.launch()
+    pg = b.new_page()
+    pg.goto('https://www.metacareers.com/jobs?offices[0]=Zurich%2C%20Switzerland',
+            wait_until='domcontentloaded', timeout=60000)
+    pg.wait_for_timeout(9000)
+    for _ in range(6):
+        pg.mouse.wheel(0, 5000); pg.wait_for_timeout(1200)
+    n = pg.locator("a[href*='/jobs/']").count()
+    n2 = pg.locator("a[href*='/profile/job_details/']").count()
+    out.write('a[/jobs/]=%d  a[/profile/job_details/]=%d\n' % (n, n2))
+    for i in range(min(n, 30)):
+        el = pg.locator("a[href*='/jobs/']").nth(i)
+        out.write('  %s | %s\n' % ((el.inner_text() or '').replace('\n', ' / ')[:90],
+                                   (el.get_attribute('href') or '')[:60]))
+    out.write('---TEXT---\n' + pg.inner_text('body')[:900])
+    b.close()
+out.close()

job_scout/_mt_out.txt

@@ -0,0 +1,49 @@
+a[/jobs/]=0  a[/profile/job_details/]=1
+---TEXT---
+Skip to main content
+Jobs
+Teams
+Career Programs
+Working at Meta
+Blog
+Podcasts
+Get personalized job recommendations from AI
+The Meta AI recruiting assistant can recommend jobs based on your resume, location, and role preferences.
+Upload resume for job recommendations
+Hide filters
+1 Items
+Save this search
+Sort by
+Relevance
+Newest
+Technologies
+Facebook
+Messenger
+Instagram
+WhatsApp
+Meta Quest
+Teams
+Advertising Technology
+AR/VR
+Artificial Intelligence
+Business Development & Partnerships
+Communications & Public Policy
+Show more
+Employment type
+Full time employment
+Internship
+Short term employment
+Location
+Zurich, Switzerland
+Apply filters
+Clear filters
+Search by technology, team, location, or ref. code
+Research Scientist Intern, AI/ML, Core Ads Growth (PhD)
+Zurich, Switzerland +1 locations
+⋅
+AI Research +3 more
+⋅
+Artificial Intelligence +2 more
+Multiple Locations
+AI Research
+Artificial Intelli

job_scout/scout.py

@@ -138,6 +138,9 @@ NEGATIVE_KEYWORDS = {
 # post mostly non-tech roles). Only keep titles containing one of these specific role
 # phrases — kept tight so "Sales Engineer"/"Staff Accountant"/"Data Privacy Counsel"
 # don't leak in. Matched as case-insensitive substrings against the title only.
+# Inclusion allowlist. Applied ONLY to boards too large to score in full (>~200 roles:
+# Databricks, Snowflake, Datadog, Elastic, Fivetran, Louis Dreyfus, Palantir). Everywhere else
+# use NOISE_TITLE_EXCLUDE — see the design note there for why fail-open is the default.
 ENG_TITLE_FILTER = [
     "data engineer", "data engineering", "data platform", "platform engineer",
     "data infrastructure", "data architect", "analytics engineer",
@@ -149,8 +152,52 @@ ENG_TITLE_FILTER = [
     # "resident" alone catches Resident Solutions Architect/Engineer without opening the gate to
     # all pre-sales SAs (the overscoring trap); "customer engineer" is Google's field-eng term.
     "forward deployed", "forward-deployed", "field engineer", "resident", "customer engineer",
+    # Added 2026-08-18 after the CH boards were title-filtered: without these, real near-misses
+    # were dropped (BFH "Wissenschaftliche Mitarbeit Data-Driven Government", Novartis "Director
+    # & Group Head (AI-Systems & Scale)"). Deliberately NOT adding bare "ai" — it substring-matches
+    # Maintenance/Training/Chair and floods every board.
+    "artificial intelligence", "ai-systems", "ai platform", "ai engineer", "ai architect",
+    "data scientist", "data-driven", "data science",
 ]
 
+# Generic non-tech title exclusions, shared by every board that uses exclusion-mode filtering.
+#
+# DESIGN NOTE (2026-08-18). Boards are filtered one of two ways:
+#   * inclusion (`_title_filter`) — an allowlist, used ONLY on boards too large to score in
+#     full (Databricks ~800, OpenAI ~730, Palantir ~300). It fails CLOSED: a great-fit role
+#     with a title nobody anticipated is dropped at fetch time and never reaches the scorer,
+#     so it appears in no report and in no JSON dump. That is an acceptable trade only where
+#     volume forces it.
+#   * exclusion (`_title_exclude`) — this list. It fails OPEN: everything survives unless it
+#     is *clearly* not an engineering role, and the score + the weak/noise bucket decide what
+#     surfaces. Prefer this. The final call belongs to the reviewer, not to a keyword gate.
+#
+# Keep these terms unambiguous. Anything that could plausibly attach to a technical role
+# (analyst, manager, specialist, consultant, architect, lead) must NOT go in here.
+NOISE_TITLE_EXCLUDE = [
+    # Facilities / retail / hospitality / admin
+    "hausdienst", "reinigung", "empfang", "hauswart", "chef de partie", "koch", "küche",
+    "restaurant", "catering", "fahrer", "logistik mitarbeiter", "lagerist", "verkauf",
+    "verkäufer", "retail", "barista", "security guard", "sicherheitsdienst",
+    # Care / health / teaching-of-non-tech
+    "physiotherapie", "pflege", "pflegefach", "hebamme", "ergotherapie", "psychologie",
+    "medical representative", "nurse", "arzt", "ärztin", "dentist",
+    # Arts / music / sport
+    "violine", "klavier", "musik", "dozierende*r violine", "sport",
+    # Back-office
+    "fundraising", "buchhaltung", "accountant", "accounting", "payroll", "steuer",
+    "recruiter", "talent acquisition", "human resources", "personalwesen",
+    "legal counsel", "rechtsanwalt", "rechtsreferendar", "notar", "jurist",
+    "kommunikation", "public relations", "übersetzer", "translator",
+    # Early-career / non-role listings
+    "lehrstelle", "praktikum", "praktikant", "internship", "intern ", "trainee",
+    "apprenti", "ausbildung", "schnupper", "where we're hiring", "talent community",
+    # Non-software engineering trades
+    "elektroplaner", "elektroinstallat", "sanitär", "heizung", "maler", "schreiner",
+    "hochspannung", "wasserbau", "strassenbau", "holzbau", "bauingenieur", "bauleiter",
+]
+
+
 # id, display, adapter, adapter_args
 COMPANIES = [
     ("nvidia",    "NVIDIA",    "workday",    {
@@ -167,6 +214,7 @@ COMPANIES = [
         "tenant": "novartis",
         "site": "Novartis_Careers",
         "search_text": "Switzerland",
+        "_title_exclude": NOISE_TITLE_EXCLUDE,
     }),
     # PCSX (Eightfold) — Microsoft has a public position search endpoint
     ("microsoft", "Microsoft", "pcsx", {
@@ -177,9 +225,9 @@ COMPANIES = [
     # Dropped: ClickHouse (Glassdoor 3.3, 36% recommend, toxic-culture flag — 2026-05).
     # Dropped: HashiCorp — acquired by IBM (closed 2025); greenhouse/ashby/lever boards all 404,
     #          roles folded into IBM's careers (no clean public ATS API). 2026-06-06.
-    ("confluent", "Confluent", "ashby",      {"slug": "confluent", "_title_filter": ENG_TITLE_FILTER}),
+    ("confluent", "Confluent", "ashby",      {"slug": "confluent", "_title_exclude": NOISE_TITLE_EXCLUDE}),
-    ("gitlab",    "GitLab",    "greenhouse", {"board": "gitlab", "_title_filter": ENG_TITLE_FILTER}),
+    ("gitlab",    "GitLab",    "greenhouse", {"board": "gitlab", "_title_exclude": NOISE_TITLE_EXCLUDE}),
-    ("grafana",   "Grafana Labs","greenhouse",{"board": "grafanalabs", "_title_filter": ENG_TITLE_FILTER}),
+    ("grafana",   "Grafana Labs","greenhouse",{"board": "grafanalabs", "_title_exclude": NOISE_TITLE_EXCLUDE}),
     # Added 2026-06-06 (Tier A/B data-infra). Databricks/Snowflake/Datadog have Zürich offices
     # (Swiss-scale comp, clears bar); Elastic/Fivetran are remote-EU (verify CH-equiv comp —
     # may be geo-banded below 180k, like Grafana). All title-filtered (boards are 160-760 roles).
@@ -195,7 +243,17 @@ COMPANIES = [
     # --- Energy / commodity trading (SmartRecruiters; title-filtered to tech roles) ---
     # Dropped: Vitol (Glassdoor 3.5, 55% recommend, grueling-hours/toxic flag — 2026-05).
     # Dropped: Sygnum (Glassdoor 3.4, 51% recommend, comp 2.3/5 — below 180k bar — 2026-05).
-    ("metgroup",  "MET Group", "smartrecruiters", {"company": "METGroup", "_title_filter": ENG_TITLE_FILTER}),
+    # Axpo (Baden/Zurich) — Teamtailor on a custom domain; no <slug>.teamtailor.com host
+    # resolves, so this uses base_url. Added 2026-08-18: memory names Axpo/Alpiq as the
+    # energy-trading targets but only MET was ever configured, and MET+LDC have produced
+    # 0 CH-eligible roles across 1,464 scrapes. ~400 roles, German-speaking region (which is
+    # what rules out the Geneva traders), incl. a "Forward Deployed AI Engineer" at add time.
+    ("axpo",      "Axpo",      "teamtailor", {
+        "base_url": "https://careers.axpo.com",
+        "default_location": "Switzerland",
+        "_title_exclude": NOISE_TITLE_EXCLUDE,
+    }),
+    ("metgroup",  "MET Group", "smartrecruiters", {"company": "METGroup", "_title_exclude": NOISE_TITLE_EXCLUDE}),
     ("ldc",       "Louis Dreyfus","smartrecruiters",{"company": "LouisDreyfusCompany", "_title_filter": ENG_TITLE_FILTER}),
     # Equinor (Workday) — Norway energy major; lived/worked in NO before. Outlier location
     # policy: Norway only (not CH / Europe-remote). Small board (~15); no title filter.
@@ -277,6 +335,20 @@ COMPANIES = [
         "page_param_start": 2,
         "max_pages": 6,
     }),
+    # Amazon + AWS share one board. Added 2026-08-18: AWS is the cloud the evidence base
+    # actually supports (Swisscom migration + data products), whereas claims.json marks GCP
+    # output-forbidden — so an AWS-native Zurich FDE req is the Google FDE lane without the
+    # cloud gap. 32 CH roles at time of adding, incl. "Senior Forward Deployed Engineer, AWS
+    # Forward Deployed Engineering" (Zurich).
+    # AWS names its delivery/field org differently from every other board, so the shared
+    # filter caught only 1 of 32 CH roles. These four terms are added narrowly and ONLY here:
+    # "solutions architect" is the classic overscoring trap (see job_scout_overscoring_findings),
+    # but on the AWS board it is the delivery-side title attached to migration/data work, which
+    # is exactly SW-1. Read the JD before trusting the score on any of these.
+    ("amazon",    "Amazon / AWS", "amazon", {
+        "countries": ["CHE"],
+        "_title_exclude": NOISE_TITLE_EXCLUDE,
+    }),
     ("apple",     "Apple",     "playwright", {
         "url": "https://jobs.apple.com/en-us/search?location=switzerland-CHE",
         "wait_for": "a[href*='/en-us/details/']",
@@ -284,9 +356,19 @@ COMPANIES = [
         "title_attr": "text",
         "link_attr": "href",
         "url_prefix": "https://jobs.apple.com",
-        "default_location": "Switzerland",
+        # NO default_location. Apple's own postLocation-CHE filter leaks global reqs whose
+        # postLocationId is postLocation-USA ("Various Locations within United States"), and
+        # a forced "Switzerland" default relabelled every one of them as CH-eligible — 84
+        # phantom CH rows over 4 runs, all internships/retail, which then read as "Apple is a
+        # bad fit" in the decision log. Read the real location off the card instead; when
+        # Apple has no Swiss reqs the honest answer is 0. Verified 2026-08-18.
+        "use_inner_text_as_blob": True,
+        "scroll_count": 5,
     }),
     # Meta job links are /profile/job_details/<id>; title + location are in the link text.
+    # NOT broken despite returning ~1 role: verified 2026-08-18 that metacareers itself
+    # reports "1 Items" for the Zurich office filter. The board is genuinely near-empty;
+    # don't "fix" this scraper without first checking the live item count on the page.
     ("meta",      "Meta",      "playwright", {
         "url": "https://www.metacareers.com/jobs?offices[0]=Zurich%2C%20Switzerland",
         "wait_for": "a[href*='/profile/job_details/']",
@@ -298,22 +380,18 @@ COMPANIES = [
         "scroll_count": 5,
         "use_inner_text_as_blob": True,
     }),
-    # PhenomPeople pattern (Roche) uses li.jobs-list-item.
+    # Roche: was a playwright scrape of the search-results page until 2026-08-18. That page's
-    # Card inner text is structured like: "<title> | Location | <city, country> | Category | ..."
+    # ?locationsearch=Switzerland filter silently fails — the page state reports "no-results"
-    # We extract title from first line, full text becomes the "description" so our location
+    # and the scrape harvested *recommendation-widget* cards instead, returning Shanghai,
-    # filter still sees Switzerland mentions.
+    # Kyiv, Bogota and Mannheim and zero Swiss roles for months while looking healthy. The
-    ("roche",     "Roche",     "playwright", {
+    # underlying Phenom refineSearch endpoint filters correctly (134 CH roles), so hit it
-        "url": "https://careers.roche.com/global/en/search-results?keywords=&locationsearch=Switzerland",
+    # directly. Title-filtered: Roche CH is overwhelmingly lab/pharma/apprenticeship reqs.
-        "wait_for": "li.jobs-list-item, a.au-target",
+    ("roche",     "Roche",     "phenom", {
-        "card": "li.jobs-list-item:not(:has-text('Saved jobs'))",
+        "url": "https://careers.roche.com/widgets",
-        "title_attr": "text",
+        "ref_num": "ROCHGLOBAL",
-        "link_sel": "a[href]",
+        "page_id": "page11-ds",
-        "link_attr": "href",
+        "country_facet": "Switzerland",
-        "url_prefix": "https://careers.roche.com",
+        "_title_exclude": NOISE_TITLE_EXCLUDE,
-        "default_location": "",
-        "cookie_accept": ["#onetrust-accept-btn-handler", "button:has-text('Accept All Cookies')"],
-        "scroll_count": 6,
-        "use_inner_text_as_blob": True,
     }),
     # Cisco (PhenomPeople, new careers.cisco.com domain). Keyword search surfaces CH roles.
     ("cisco",     "Cisco",     "playwright", {
@@ -353,6 +431,7 @@ COMPANIES = [
         "field_url": "descriptionUrl", "field_date": "onlineSince",
         "loc_suffix": " Switzerland",
         "desc_keys": ["department", "typeOfEmployment", "entryLevel"],
+        "_title_exclude": NOISE_TITLE_EXCLUDE,
     }),
     # RUAG (Thun/Bern/Emmen). Jobs render on the portal as anchors to jobs.ruag.ch; the first
     # line of each anchor is the title. All sites are Swiss, so default_location=Switzerland
@@ -370,7 +449,7 @@ COMPANIES = [
         "scroll_count": 1,
         "page_param": "page",
         "max_pages": 10,
-        "_title_filter": ENG_TITLE_FILTER,
+        "_title_exclude": NOISE_TITLE_EXCLUDE,
     }),
     # SBB (company.sbb.ch — the correct host; company-jobs.sbb.ch was wrong). AEM job filter
     # served as a flat JSON list; the fetch_sbb adapter replicates the user's IT + Bern-region
@@ -380,12 +459,14 @@ COMPANIES = [
         "topic": "IT / Telekommunikation",
         "region": "Bern Mittelland",
         "_score_floor": 2,
+        "_title_exclude": NOISE_TITLE_EXCLUDE,
     }),
     # BKW Group (jobs.bkw.com — the real ATS host). PMS structured-data API; ~600 roles
     # group-wide, so fetch_bkw keeps only Berufsfeld categories Informatik/Trading/Finanzen
     # (IT/data + energy-trading, incl. the flagged Energiehandel roles). German/generic
     # titles, so _score_floor keeps the pre-filtered set visible.
-    ("bkw",       "BKW (Bern)", "bkw", {"_score_floor": 2}),
+    ("bkw",       "BKW (Bern)", "bkw", {"_score_floor": 2,
+                                          "_title_exclude": NOISE_TITLE_EXCLUDE}),
     # PostFinance (Bern). The careers site renders a small, client-side paginated board;
     # scrape all pages through its stable next-page control. No title filter: the board is
     # low-volume, and the scorer keeps unrelated banking/customer-service roles out of the
@@ -400,6 +481,7 @@ COMPANIES = [
         "use_inner_text_as_blob": True,
         "next_button": "#pfch-pagination-next",
         "max_pages": 10,
+        "_title_exclude": NOISE_TITLE_EXCLUDE,
     }),
     # BFH (Bern University of Applied Sciences). Re-added 2026-07-14: the jobs.bfh.ch domain
     # itself is a broken/stub SPA shell (renders "Career Center project template", nothing
@@ -419,6 +501,7 @@ COMPANIES = [
         "link_sel": "a",
         "default_location": "Switzerland",
         "_score_floor": 2,
+        "_title_exclude": NOISE_TITLE_EXCLUDE,
     }),
 ]
 
@@ -644,34 +727,80 @@ def fetch_rss(args):
     return jobs
 
 
+# schema.org JobPosting addresses carry ISO alpha-2 country codes; the location policy
+# keyword lists are full names. Only the countries the policies actually test for.
+_ISO2_COUNTRY = {
+    "CH": "Switzerland", "NO": "Norway", "DK": "Denmark", "DE": "Germany",
+    "AT": "Austria", "FR": "France", "IT": "Italy", "ES": "Spain", "PL": "Poland",
+    "NL": "Netherlands", "BE": "Belgium", "SE": "Sweden", "FI": "Finland",
+    "GB": "United Kingdom", "UK": "United Kingdom", "IE": "Ireland", "US": "United States",
+    "PT": "Portugal", "CZ": "Czechia", "RO": "Romania", "RS": "Serbia", "TR": "Turkey",
+}
+
+
 def fetch_teamtailor(args):
     """Teamtailor public JSON Feed (`https://<slug>.teamtailor.com/jobs.json`).
 
-    Used by Telenor. The public /jobs HTML page paginates and under-reports; the feed
+    Used by Telenor (`slug`) and Axpo (`base_url`, a Teamtailor board on a custom domain —
-    returns the full board in one call, so prefer it. The feed carries no location
+    careers.axpo.com — which no <slug>.teamtailor.com host resolves to). The public /jobs
-    field, so default_location is required (Teamtailor boards are per-country anyway).
+    HTML page paginates and under-reports; the feed is authoritative. The feed carries no
+    location field, so default_location is required (Teamtailor boards are per-country).
     Descriptions are frequently Norwegian — see the _score_floor note on the company.
 
+    The feed caps at 100 items and links the next page via `next_url`; follow it, or large
+    boards silently truncate (Axpo is ~400 roles, i.e. 4 pages).
+
     TRAP: an unclaimed slug returns Teamtailor's *demo* board (HTTP 200, plausible JSON)
     instead of 404. Verified 2026-07-29: `ksat` and `akerbp` both served the seed set
     below though neither company uses Teamtailor. Filtered here so phantom roles never
     reach a report — if a real board is ever dropped by this, widen the fingerprint."""
     DEMO_TITLES = {"sales development manager", "team lead - csm", "social media manager",
                    "customer success manager", "key account manager", "ux designer"}
+    if args.get("base_url"):
+        url = args["base_url"].rstrip("/") + "/jobs.json"
+    else:
         url = f"https://{args['slug']}.teamtailor.com/jobs.json"
-    req = urllib.request.Request(url, headers={"User-Agent": USER_AGENT, "Accept": "application/json"})
+    jobs = []
+    for _ in range(args.get("max_pages", 10)):
+        req = urllib.request.Request(
+            url, headers={"User-Agent": USER_AGENT, "Accept": "application/json"})
         with urllib.request.urlopen(req, timeout=30, context=_ssl_context()) as resp:
             data = json.loads(resp.read().decode("utf-8", "replace"))
-    jobs = []
+        items = data.get("items", []) or []
-    for it in data.get("items", []):
+        for it in items:
+            # Prefer the schema.org JobPosting payload's real address over default_location.
+            # Axpo is a pan-European trader (Madrid, Milan, Warsaw, Germany, France as well as
+            # Baden/Zurich), so defaulting every role to the board's home country would mark
+            # ~380 non-Swiss roles CH-eligible — the same class of bug as Apple's forced
+            # "Switzerland" default. Telenor's feed has no _jobposting and falls back cleanly.
+            location = args.get("default_location", "")
+            places = ((it.get("_jobposting") or {}).get("jobLocation") or [])
+            if isinstance(places, dict):
+                places = [places]
+            parts = []
+            for place in places:
+                addr = (place or {}).get("address") or {}
+                # schema.org gives ISO alpha-2 ("CH", "NO"); the location policy matches on
+                # full country names, so expand or the role reads as location-unknown.
+                country = _ISO2_COUNTRY.get((addr.get("addressCountry") or "").upper(),
+                                            addr.get("addressCountry"))
+                bit = ", ".join(x for x in (addr.get("addressLocality"), country) if x)
+                if bit and bit not in parts:
+                    parts.append(bit)
+            if parts:
+                location = " | ".join(parts)
             jobs.append({
                 "id": it.get("id") or it.get("url", ""),
                 "title": it.get("title", ""),
-            "location": args.get("default_location", ""),
+                "location": location,
                 "url": it.get("url", ""),
                 "posted": it.get("date_published", ""),
                 "description": re.sub(r"<[^>]+>", " ", it.get("content_html", ""))[:2500],
             })
+        nxt = data.get("next_url")
+        if not items or not nxt or nxt == url:
+            break
+        url = nxt
     titles = {j["title"].strip().lower() for j in jobs}
     if jobs and len(titles & DEMO_TITLES) >= 4:
         raise RuntimeError(
@@ -729,6 +858,94 @@ def fetch_getro(args):
     return jobs
 
 
+def fetch_amazon(args):
+    """amazon.jobs public search JSON. Covers Amazon + AWS, which share one board.
+
+    `normalized_country_code[]` is the filter that actually works; the plain `country[]`
+    and `loc_query` params are ignored and silently return the global (US-heavy) set —
+    verified 2026-08-18, where `country[]=CHE` returned 6,837 mostly-Seattle hits against
+    32 for the normalized form."""
+    base = "https://www.amazon.jobs/en/search.json"
+    headers = {"User-Agent": ("Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 "
+                              "(KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36")}
+    jobs, offset, page_size = [], 0, 100
+    while True:
+        qs = urllib.parse.urlencode({
+            "radius": "100mi", "offset": offset, "result_limit": page_size,
+            "sort": "recent", "base_query": args.get("base_query", ""),
+        })
+        countries = "".join(f"&normalized_country_code[]={urllib.parse.quote(c)}"
+                            for c in args.get("countries", ["CHE"]))
+        data = http_get_json(f"{base}?{qs}{countries}", headers=headers)
+        batch = data.get("jobs", []) or []
+        for j in batch:
+            jobs.append({
+                "id": str(j.get("id_icims") or j.get("id") or ""),
+                "title": j.get("title", ""),
+                "location": j.get("normalized_location") or j.get("location") or "",
+                "url": "https://www.amazon.jobs" + (j.get("job_path") or ""),
+                "posted": j.get("posted_date", ""),
+                "description": (j.get("description_short") or j.get("description") or "")[:2000],
+            })
+        total = data.get("hits", 0)
+        offset += page_size
+        if not batch or offset >= total or offset >= args.get("max_results", 500):
+            break
+    return jobs
+
+
+def fetch_phenom(args):
+    """Phenom People careers search (POST /widgets with ddoKey=refineSearch). Used by Roche.
+
+    The public search-results page is a JS shell whose location filter silently fails: a
+    scrape of `?locationsearch=Switzerland` returns *recommendation-widget* cards (Shanghai,
+    Kyiv, Bogota) while the page state reports `no-results`. Verified 2026-08-18 — this is
+    why Roche contributed 0 Swiss roles for months while looking healthy. The underlying
+    refineSearch endpoint filters correctly (134 CH roles), so query it directly.
+
+    `country_facet` is the value for the `country` facet (e.g. "Switzerland"). `ref_num` and
+    `page_id` are tenant constants visible in any /widgets POST from the careers site."""
+    url = args["url"]
+    ref_num, page_id = args["ref_num"], args.get("page_id", "page11-ds")
+    lang = args.get("lang", "en_global")
+    page_size = args.get("page_size", 100)
+    headers = {
+        "Origin": "{0.scheme}://{0.netloc}".format(urllib.parse.urlsplit(url)),
+        "Referer": url,
+        # Phenom 403s the default library UA.
+        "User-Agent": ("Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 "
+                       "(KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"),
+    }
+    jobs, offset = [], 0
+    while True:
+        data = http_get_json(url, method="POST", headers=headers, data={
+            "lang": lang, "deviceType": "desktop", "country": "global",
+            "pageName": "search-results", "ddoKey": "refineSearch",
+            "sortBy": "", "subsearch": "", "from": offset, "jobs": True, "counts": True,
+            "all_fields": ["country", "state", "city", "category", "type"],
+            "size": page_size, "clearAll": False, "jdsource": "facets",
+            "isSliderEnable": False, "pageId": page_id, "siteType": "external",
+            "keywords": "", "global": True, "locationData": {},
+            "selected_fields": {"country": [args["country_facet"]]},
+        })
+        res = data.get("refineSearch", {}) or {}
+        batch = (res.get("data", {}) or {}).get("jobs", []) or []
+        for j in batch:
+            jobs.append({
+                "id": str(j.get("jobId") or j.get("jobSeqNo") or ""),
+                "title": j.get("title", ""),
+                "location": j.get("location") or j.get("cityStateCountry") or "",
+                "url": j.get("applyUrl", ""),
+                "posted": (j.get("postedDate") or "")[:10],
+                "description": (j.get("descriptionTeaser") or "")[:2000],
+            })
+        total = res.get("totalHits", 0)
+        offset += page_size
+        if not batch or offset >= total or offset >= args.get("max_results", 600):
+            break
+    return jobs
+
+
 def fetch_onlyfy(args):
     """onlyfy.jobs board (XING E-Recruiting / ex-Prinzip), used by Bitcoin Suisse. The
     candidate/job/ajax_list endpoint returns an HTML fragment listing every posting; each
@@ -1313,6 +1530,8 @@ ADAPTERS = {
     "rss": fetch_rss,
     "teamtailor": fetch_teamtailor,
     "getro": fetch_getro,
+    "amazon": fetch_amazon,
+    "phenom": fetch_phenom,
     "onlyfy": fetch_onlyfy,
     "lever": fetch_lever,
     "taleo": fetch_taleo,
@@ -1611,10 +1830,16 @@ def _process_company(cid, display, args, jobs, seen, today, last_scrape):
                 "0 jobs returned (verify board slug/selectors if this is unexpected)",
             ))
 
+    # Inclusion allowlist (fails closed — only for boards too large to score in full).
     title_filter = args.get("_title_filter")
     if title_filter:
         jobs = [j for j in jobs
                 if any(_kw_in(k, (j.get("title") or "").lower()) for k in title_filter)]
+    # Exclusion denylist (fails open — preferred; see NOISE_TITLE_EXCLUDE).
+    title_exclude = args.get("_title_exclude")
+    if title_exclude:
+        jobs = [j for j in jobs
+                if not any(_kw_in(k, (j.get("title") or "").lower()) for k in title_exclude)]
 
     dates = [d for j in jobs if (d := _parse_posted(j.get("posted")))]
     newest = max(dates) if dates else None
@@ -1828,6 +2053,9 @@ def main():
 #   pcsx           microsoft
 #   smartrecruiters metgroup, ldc
 #   rss            bis
+#   amazon         amazon (Amazon + AWS share one board)
+#   phenom         roche (Cisco still uses the playwright path)
+#   teamtailor     telenor, axpo (custom domain via base_url)
 #   getro          (no company configured — adapter kept for future VC talent networks)
 #   onlyfy         bitcoin_suisse
 #   lever          palantir, quantco
@@ -1835,7 +2063,7 @@ def main():
 #   json           swissgrid
 #   sbb            sbb
 #   bkw            bkw
-#   playwright     google, apple, meta, roche, cisco, ruag, postfinance, bfh
+#   playwright     google, apple, meta, cisco, ruag, postfinance, bfh
 #
 # MANUAL_CHECK: Oracle (ORC needs CH geographyId).
 # ==============================================================================