infra/docs/runbooks/job-hunter.md
Viktor Barzin aa0d6511b2
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job-hunter runbook: document two self baselines + taxable_pay gotcha
Dashboard now shows two 'Me' bars: realized gross (~£409k, from
SUM(payslip taxable_pay) = P60 basis) and package/grant-value (~£267k,
levels.fyi-comparable). Document that gross MUST come from taxable_pay, NOT
salary+bonus+rsu_vest (rsu_vest is net/partial, understates RSU ~50%).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-02 23:13:35 +00:00

317 lines
16 KiB
Markdown

# 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/<slug>/jobs?content=true" -o /dev/null -w '%{http_code}\n'
# Lever: https://api.lever.co/v0/postings/<slug>?mode=json
# Ashby: https://api.ashbyhq.com/posting-api/job-board/<slug>?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 + :<sha>) → set image → rollout
```
The **Deployment** rolls to the just-built `:<sha>`. 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
`:<sha>` 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=<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=<taxable_pay sum>`):
```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.