# Runbook: job-hunter — passive job + comp scraper Last updated: 2026-06-02 `job-hunter` is a passive job-market + compensation scraper in the `job-hunter` namespace. It pulls open roles from ATS boards (Greenhouse / Lever / Ashby), HN "Who is hiring", and levels.fyi comp medians into a CNPG Postgres DB, and serves agent-friendly CLI queries (used by the `job-hunter` Claude skill). As of 2026-06-02 it also accumulates **dated snapshots** so comp and hiring-volume trends can be tracked over time. ## Where things live | Thing | Location | |---|---| | Source code | Forgejo `https://forgejo.viktorbarzin.me/viktor/job-hunter` (NOT in the monorepo) | | Image | `forgejo.viktorbarzin.me/viktor/job-hunter:latest` (CI builds on push; Keel rolls the Deployment) | | Terraform stack | `infra/stacks/job-hunter/` (`main.tf` = Deployment/Service/ESO; `cronjob.tf` = weekly refresh) | | Database | `pg-cluster-rw.dbaas.svc.cluster.local:5432/job_hunter`, role `job_hunter` (Vault `static-creds/pg-job-hunter`, 7d rotation) | | App secrets | Vault `secret/job-hunter` → `webhook_bearer_token`, `cdio_api_key`, `smtp_username/password`, `digest_to/from_address` | | Grafana | `https://grafana.viktorbarzin.me` → datasource **Job Hunter** (PG, read-only) | | Claude skill | `~/.claude/skills/job-hunter/SKILL.md` | | Weekly scrape | CronJob `job-hunter-refresh`, **Sundays 04:00 UTC** | ## Architecture - **Sources** (`job_hunter/sources/`): `ats` (Greenhouse/Lever/Ashby JSON APIs, ~35 companies in `config/companies.yaml`), `hn` (Algolia), `levels_fyi` (comp medians), `linkedin_guest` (opt-in), `changedetection` (`/webhook/cdio` for non-ATS careers pages in `config/cdio_watches.yaml`). - **Tables**: `companies`, `roles`, `comp_points`, `levels`, `fx_rates` (upsert-in-place, "current state"); `comp_snapshots`, `roles_snapshots` (append-only, one row per source-row per `snapshot_date` — the dated series). Snapshots are written as a side-effect of every upsert during a refresh. - **The ATS fetch is resilient**: a board returning a permanent 4xx (404/410/403) is skipped with a warning; 5xx/network errors retry once then skip. One dead board cannot abort the whole run (regression fixed 2026-06-02 — Elastic's 404 had been taking down every refresh). Boards are fetched concurrently (bounded semaphore, default 8 in-flight). --- ## OPS ### Is it healthy? ```bash # CronJob exists + last schedule/success kubectl -n job-hunter get cronjob job-hunter-refresh # Most recent run's pods + logs kubectl -n job-hunter get jobs -l app=job-hunter --sort-by=.metadata.creationTimestamp kubectl -n job-hunter logs -l job-name=$(kubectl -n job-hunter get jobs -o jsonpath='{.items[-1:].metadata.name}') # Deployment (serves the CLI / webhook) is up kubectl -n job-hunter get deploy job-hunter # Data freshness — newest snapshot date should advance weekly kubectl -n job-hunter exec deploy/job-hunter -- python -m job_hunter report --days 7 | jq '.source_mix' ``` Row-count sanity (via the read-only Grafana datasource or a direct exec): ```bash kubectl -n job-hunter exec deploy/job-hunter -- python -c "import job_hunter" # smoke ``` ### Manual refresh (off-schedule) ```bash kubectl -n job-hunter exec deploy/job-hunter -- \ python -m job_hunter refresh --source ats --source hn --source levels_fyi ``` Or trigger the CronJob immediately: ```bash kubectl -n job-hunter create job --from=cronjob/job-hunter-refresh jh-manual-$(date +%s) ``` ### Seed / re-snapshot the dated series Snapshots are written automatically on every refresh. To seed a baseline from the current tables (idempotent — one row per source-row per day): ```bash kubectl -n job-hunter exec deploy/job-hunter -- python -m job_hunter snapshot # back-date a snapshot if needed: kubectl -n job-hunter exec deploy/job-hunter -- python -m job_hunter snapshot --date 2026-06-01 ``` ### Add an ATS company ATS companies are scraped from `config/companies.yaml` in the **Forgejo repo** (not the monorepo). To add one: 1. Live-probe the slug returns HTTP 200 with London roles before adding it: ```bash curl -s "https://boards-api.greenhouse.io/v1/boards//jobs?content=true" -o /dev/null -w '%{http_code}\n' # Lever: https://api.lever.co/v0/postings/?mode=json # Ashby: https://api.ashbyhq.com/posting-api/job-board/?includeCompensation=true ``` 2. Add a `{slug, display_name, ats_type, ats_id, careers_url}` block to `config/companies.yaml`, commit, push. 3. CI builds the image; Keel rolls the Deployment. The next refresh picks it up. (No Terraform change — config ships in the image.) A board that later starts 404ing is skipped automatically; remove its entry when the 404 is permanent (keeps logs clean). ### Add a changedetection.io watch (non-ATS firms) Firms without a public ATS JSON API (Citadel, Two Sigma, G-Research, HRT, xAI, Wise, Revolut, …) are diff-monitored via CDIO. Add to `config/cdio_watches.yaml` in the Forgejo repo, then reconcile: ```bash kubectl -n job-hunter exec deploy/job-hunter -- python -m job_hunter cdio-seed --dry-run # preview kubectl -n job-hunter exec deploy/job-hunter -- python -m job_hunter cdio-seed # create kubectl -n job-hunter exec deploy/job-hunter -- python -m job_hunter cdio-reconcile # list ``` Changes hit `/webhook/cdio`; comp/role extraction from the diff is manual or LLM-side (CDIO only captures the changed text). ### Deploying (build triggers the rollout) Deploys are **automatic on push to master** — we build the image, so CI also drives the rollout (`.woodpecker.yml`: `build-and-push` tags `latest` + `${CI_COMMIT_SHA:0:8}`, then a `deploy` step runs `kubectl set image deployment/job-hunter ...:${SHA}` + `rollout status`). The woodpecker-agent SA is cluster-admin, so no kubeconfig/RBAC is wired into the step. Keel stays enrolled in parallel as a redundant net (finds the SHA already running → no-op). So to ship code: ```bash # in the job-hunter source repo (forgejo viktor/job-hunter) git push origin master # → lint+test → build (latest + :) → set image → rollout ``` The **Deployment** rolls to the just-built `:`. The **CronJob** runs `:latest` with `imagePullPolicy: Always`, so its next scheduled pod pulls the newest image (no rollout needed for a CronJob). `image_tag = "latest"` in `terragrunt.hcl` is just the TF baseline; the running Deployment digest is whatever CI last set (`kubectl -n job-hunter get deploy job-hunter -o jsonpath='{..image}'`). **Versioning** is still semver — bump `pyproject.toml` and cut a `git tag vX.Y.Z` to mark a release; that's the human version record, independent of the `:` deploy tag (map a running SHA back to a version with `git describe`). **Rollback**: `kubectl -n job-hunter rollout undo deployment/job-hunter` (last ReplicaSet), or push a revert commit (CI redeploys the reverted SHA). ### Applying the Terraform stack ```bash cd infra/stacks/job-hunter scripts/tg plan # vault login -method=oidc first scripts/tg apply ``` The DB password rotates every 7 days (Vault static role `pg-job-hunter`); Reloader restarts the Deployment when the ESO-synced secret changes. The Grafana datasource password is mirrored via a second ExternalSecret in the `monitoring` namespace. ### Common failures | Symptom | Cause | Fix | |---|---|---| | Refresh job `Error`, log shows `ats: skipping company=X — HTTP 404` | A board slug was renamed/removed | Expected — the run continues. Remove the dead slug from `companies.yaml` if permanent. | | Refresh aborts with a traceback before any company | Pre-2026-06-02 image (no skip-on-404) | Confirm Keel rolled the new image: `kubectl -n job-hunter get deploy job-hunter -o jsonpath='{..image}'`. | | `snapshot` / refresh fails: `relation "job_hunter.comp_snapshots" does not exist` | Migration 0004 not applied | The CronJob + Deployment run `migrate` on start. Run `kubectl -n job-hunter exec deploy/job-hunter -- python -m job_hunter migrate`. | | `/webhook/cdio` returns 401 | `webhook_bearer_token` mismatch between Vault and the CDIO notification URL | Re-run `cdio-seed` after rotating the token; it rebuilds the `jsons://...?+Authorization=` URL. | | Non-GBP comp looks wrong / NULL | `fx_rates` gap for the role's `posted_at` date | `kubectl -n job-hunter exec deploy/job-hunter -- python -m job_hunter backfill-fx --days 30` | | Job OOMKilled | levels.fyi HTML parse spike across many companies | Bump the CronJob container memory limit in `cronjob.tf` (currently 1Gi). | --- ## ANALYST ### Weekly above-target Slack alert The `job-hunter-alert` CronJob (Sundays 05:00 UTC, an hour after the refresh) posts to Slack the companies whose London p50 total comp **≥ £500k**, flagging any that **newly crossed** since last week's snapshot. Threshold is the `--threshold` arg in `cronjob.tf` (default 500000 — well above the ~£267k move floor, so only clearly-exceptional comp pings). Slack webhook comes from Vault `secret/job-hunter` → `slack_webhook_url` (seeded from the shared workspace webhook → currently posts to the same channel as Keel; repoint to a dedicated channel by `vault kv patch secret/job-hunter slack_webhook_url=`). ```bash # Preview the message without posting kubectl -n job-hunter exec deploy/job-hunter -- python -m job_hunter alert --stdout # Different bar / location kubectl -n job-hunter exec deploy/job-hunter -- \ python -m job_hunter alert --threshold 350000 --location london --stdout # Fire it now (posts to Slack) kubectl -n job-hunter create job --from=cronjob/job-hunter-alert jh-alert-manual ``` `newly_crossed` needs ≥2 snapshot dates — it's empty until the second weekly run accumulates. To change the standing threshold, edit `--threshold` in `infra/stacks/job-hunter/cronjob.tf` and apply. ### The periodic "market leaders in comp" report This is the headline command — current leaders by p50 total comp, week-over-week movers, new entrants, open-role counts, and sample-size caveats: ```bash # London senior leaders, human-readable kubectl -n job-hunter exec deploy/job-hunter -- \ python -m job_hunter analyze --level senior --top-n 10 # All levels, JSON for downstream tools kubectl -n job-hunter exec deploy/job-hunter -- \ python -m job_hunter analyze --format json ``` `--trend-weeks N` sets the movers comparison window (default 12). Movers report `available: false` until at least two snapshot dates spanning the window exist — the series starts accumulating from the first refresh after 2026-06-02, so 12-week movers become meaningful around late August 2026. ### Query recipes ```bash # Salary band for a slice kubectl -n job-hunter exec deploy/job-hunter -- python -m job_hunter bands --title 'staff' kubectl -n job-hunter exec deploy/job-hunter -- python -m job_hunter comp-band --level senior # Per-(company, level) comp table kubectl -n job-hunter exec deploy/job-hunter -- python -m job_hunter comp-table --location london # Open roles, highest-confidence comp first kubectl -n job-hunter exec deploy/job-hunter -- python -m job_hunter query --title sre --with-salary --limit 20 # Compare two firms kubectl -n job-hunter exec deploy/job-hunter -- python -m job_hunter comp-band --company janestreet kubectl -n job-hunter exec deploy/job-hunter -- python -m job_hunter comp-band --company optiver ``` ### Trend queries (Grafana or psql against the snapshot tables) The dated series lives in `comp_snapshots` / `roles_snapshots`. Examples (run in Grafana's "Job Hunter" datasource, or `psql` as the `job_hunter` role): ```sql -- Comp trend: median total comp per company over time (London) SELECT s.snapshot_date, c.display_name, percentile_cont(0.5) WITHIN GROUP (ORDER BY COALESCE(s.total_gbp, s.base_gbp)) AS p50_gbp FROM job_hunter.comp_snapshots s JOIN job_hunter.companies c ON c.id = s.company_id WHERE s.location_bucket = 'london' GROUP BY s.snapshot_date, c.display_name ORDER BY s.snapshot_date, p50_gbp DESC; -- Hiring-volume trend: open London roles per company per snapshot SELECT s.snapshot_date, c.display_name, COUNT(*) AS open_roles FROM job_hunter.roles_snapshots s JOIN job_hunter.companies c ON c.id = s.company_id WHERE s.primary_location = 'london' GROUP BY s.snapshot_date, c.display_name ORDER BY s.snapshot_date, open_roles DESC; -- Two-snapshot diff: p50 change for one company between two dates SELECT c.display_name, s.snapshot_date, percentile_cont(0.5) WITHIN GROUP (ORDER BY COALESCE(s.total_gbp, s.base_gbp)) AS p50 FROM job_hunter.comp_snapshots s JOIN job_hunter.companies c ON c.id = s.company_id WHERE c.slug = 'janestreet' AND s.snapshot_date IN ('2026-06-02', '2026-08-30') GROUP BY c.display_name, s.snapshot_date; ``` ### "Your comp vs the market" dashboard panel + your baselines The Job Hunter Grafana dashboard (`grafana.viktorbarzin.me` → Job Hunter) has a bar chart **"Your comp vs the market — London p50 total comp"** ranking every company's London median TC with your comp shown in line. Your figures are deliberately **not hardcoded in the committed dashboard JSON** — they live in the DB as labeled comp_points with `source='self'` (the panel tags any `source='self'` row as "You" and renders one bar each). There are **two**, by design: - `self-realized` — **"Me - realized gross" ≈ £409k**: your actual P60 gross for the current tax year. **Source = `SUM(payslip_ingest.payslip.taxable_pay)`** for the tax year (this equals the P60 "pay for tax"; do NOT use `salary+bonus+rsu_vest`, where `rsu_vest` is net/partial and understates RSU income by ~half). Inflated by concurrent stacked RSU vests + META price. - `self-current` — **"Me - package (grant TC)" ≈ £267k**: base + bonus + current-year RSU refresher *grant face* (£117,927). This is the basis **levels.fyi uses for the company bars**, so it's the apples-to-apples figure for comparing a job *offer*. Both sit below the £500k alert bar (never ping Slack). Re-seed when comp changes (realized: re-pull `taxable_pay`; grant-value: from the YE letter). The grant-value seed (run the realized one the same way with `company_slug='self-realized'`, `company_display_name='Me - realized gross'`, `total_value=`): ```bash kubectl -n job-hunter exec deploy/job-hunter -- python -c " import asyncio; from decimal import Decimal; from datetime import date from job_hunter.db import create_engine_from_env, make_session_factory from job_hunter.sources.comp.base import CompPoint from job_hunter.storage_comp import upsert_comp_point async def m(): e=create_engine_from_env(); sf=make_session_factory(e) async with sf() as s: # total_value is what the comparison/bar uses — it MUST be full TC # (base + bonus + RSU). Store the components too for transparency. await upsert_comp_point(s, CompPoint(source='self', external_id='self-current', company_slug='self-current', company_display_name='Me (Meta IC5)', level_slug='senior', location_bucket='london', base_value=Decimal('123682'), bonus_value=Decimal('25734'), rsu_grant_value=Decimal('117927'), rsu_vesting_years=1, total_value=Decimal('267343'), currency='GBP', effective_date=date.today())) await s.commit() await e.dispose() asyncio.run(m())" ``` ### Interpreting the numbers — caveats - **Sample size**: `analyze` flags companies with `n < 3` as `low_confidence`. A single self-reported datapoint is anecdote, not a band — chase the p50 only where n is healthy. - **levels.fyi bias**: comp_points are self-reported medians; they skew toward people who report (often higher earners) and lag the market by a quarter or two. - **HFT/quant**: base comp is the disclosed figure; bonus (often the larger half) is variable and usually absent from postings. Treat HFT base as a floor, not total. - **Currency**: all figures are GBP-normalised via ECB rates looked up by `posted_at` (7-day fallback). A FX gap shows as NULL comp, not a wrong number. - **Movers need history**: a delta is only as good as the two snapshot dates behind it; early deltas (< full `trend_weeks` of data) compare against the earliest available snapshot and are noted as such. ## Related - Skill: `~/.claude/skills/job-hunter/SKILL.md` (agent invocation patterns) - Beads epic: `code-snp` - Storage / backup context: this DB is on the shared CNPG cluster (`dbaas`), backed up by the per-db `postgresql-backup-per-db` CronJob.