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JFrog
About JFrog
JFrog builds a software supply chain platform for DevOps, DevSecOps and MLOps teams, covering artifact management, security, distribution and release automation.
People & hiring
Company scale, with the denominator visible
Employee figures and vacancy signals describe different things. Each chart names its scope and observation period.
ApplyDjinn hiring evidence · current 30-day window
Explore these jobs →Current open roles
Change versus 2026-10-07.
Technical open roles
Classified from the same current vacancies. This is a hiring mix, not the employee mix.
Live vacancy evidence
Technology coverage at JFrog
Coverage always uses all 29 active roles as the denominator. Scope only changes which requirement signals count.
- Active roles
- 29
- Technologies
- 35
- Hard mentions
- 49
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Curated company stack
Company-level metadata, kept separate from live vacancy requirements.
Perks & Benefits
Company Details
Industry
DevOps / Software Supply Chain
Company size
1000+
Headquarters
Tel Aviv / Netanya, Israel
Founded
2008
Domain
jfrog.com
Rating
—
Open roles
29
FROG share
$98.51
30-day share move
+12.4%
Hiring and market history
Daily vacancy snapshots and unadjusted closing share prices are independent signals.
Vacancy history
FROG closing price
Share price is shown for context, not as company-size or investment advice.
29 open positions at JFrog
Showing the latest 0 here.
Employee perspectives
Reviews of JFrog
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Company monitor
Published about JFrog
Official updates and independent stories that name JFrog, with dates and source attribution. Each preview opens here first.
The Year the Vulnerability Backlog Changed Shape
As we enter the AI era, few among us have found themselves so entrenched in the throes of the shifting landscape as CISOs. With the threat landscape shifting, they are up against increasing rates of vulnerabilities and exploits alongside rapidly scaling demands for ever more secure environments. As CISOs, with our role as the protectors …
Open story →The New Rules of Patching: When a Fix Becomes a Blueprint for Attackers
TL;DR: Frontier AI has collapsed the vulnerability exploit window from weeks to mere hours. Attackers now use advanced AI models to reverse-engineer published fixes and generate working exploits faster than human security teams can deploy updates. In the AI era, publishing a patch creates a blueprint for attackers. Surviving this threat requires vendors to t
Open story →JFrog Artifactory Supports LuaRocks Hosting for NGINX, OpenResty and Kong
If your NGINX/OpenResty servers or Kong gateways pull Lua modules straight from public luarocks.org, one upstream outage can stall every build and deploy that depends on a “rock”. With LuaRocks support in JFrog Artifactory, you host and proxy those modules from a private LuaRocks registry you control, using the native experience you expect, not a …
Open story →ParaShells: Parallels Desktop Turns Appliance Install Into a Root Shell
Your Mac runs a vulnerable version of Parallels Desktop. A malicious package, compromised CI job, or other unprivileged process is already running on it. No admin access. No Parallels-signed client. One appliance-install request later, attacker-controlled code runs as root. While testing Desktop 26.4.0 (build 57513) on Apple silicon, we found that an unprivi
Open story →Extending the Single Source of Truth to the Agentic Software Supply Chain
Every developer on your team now runs multiple agents. None of them are waiting for human sign-off to act. That’s exactly the gap we discussed and closed at swampUP 2026. JFrog unveiled new capabilities that extend the JFrog Platform as not only the Single Source of Truth for OSS and heritage software, but now the …
Open story →Live From the Show Floor: swampUP 2026
Live updates from this event have concluded. swampUP 2026 is officially LIVE in New York City! Three days, one stage, one mission: rebuild trust for a software supply chain that increasingly ships itself. Keynote updates land here as they happen, September 1–3, 2026. Let’s go! Conference Day 2, September 3rd [11:00 a.m.] The Great Model …
Open story →Every Release Needs a Chain of Custody. AI Agents Just Made That Harder.
When an auditor asks what went into your last release, most teams do the same thing. They open four tabs: GitHub for commits Jira for tickets A Slack thread for the approvals A spreadsheet to track what made it to production (built two sprints ago) None of it connects. None of it is bound to …
Open story →DevGovOps: How the AI Era Dictates That Governance Lives Inside the Pipeline
For decades, proving compliance meant having a person behind every decision – an engineer who remembered the approval, an auditor who could call someone and get an answer. That model worked because humans wrote, reviewed, and shipped every line of code. When agents do it instead, that dependency breaks. And so does your ability to …
Open story →