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Why this grade This listing scored 15/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 14 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 3 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Freshness 0 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-15 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
hn-hiring
We secure the SaaS apps companies actually run on: M365, Salesforce, and hundreds more. You’d be on the Threat product team working full-stack. That means browser extension code (content/background scripts, manifest v3, message passing), backend services chewing through millions of events, and the data pipelines feeding our detection engine. One day you’re in TypeScript debugging why a content script won’t capture form submissions on some vendor’s weird SPA. The next you’re in Python fixing a Kafka consumer that’s falling behind. Sometimes you’re in Rust optimizing a hot path in the telemetry collector.
Big current focus is shadow AI, i.e. catching when employees paste sensitive data into ChatGPT, Claude, or whatever LLM showed up this week. You’d build the systems that detect it.
Looking for ~8+ yrs experience, real browser knowledge (DOM, event loop, SPA routing, CORS, not just “I used React”), prior browser extension work, strong TypeScript, comfortable in Python, willing to write Rust, plus data-at-scale chops (event streaming, Postgres, Elasticsearch, Kafka). Bonus: AI security (prompt injection, exfiltration), detection engineering/SIEM, or security tooling.
Apply via the link above, or see all our open roles at https://www.obsidiansecurity.com/careers
Apply for this role Opens job-boards.greenhouse.io — the link as listed; we have not yet verified it is the employer's own page
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