The company secures the AI-driven SDLC from prompt to production, unifying development and cloud context to stop vulnerabilities at the source.
The Security Research group is hiring a senior, hands-on Application Security Researcher to push modern AppSec forward — working with engineers, researchers and AI/data scientists on next-generation detection, including autonomous, agentic pen-testing capabilities.
This is a build-and-break role, not a typical AppSec position.Must-have skills:5+ years hands-on in offensive security, vulnerability research, or application securityDeep understanding of web application and API vulnerabilities, including business-logic flaws and multi-step attack chainsStrong coding in Python, Go, or similar, with production-quality code shippedExperience building or tuning detection logic (SAST, DAST, SCA, secrets, or custom rule engines) and reducing false positivesSolid grasp of modern stacks: CI/CD pipelines, containers, Kubernetes,



and at least one major cloud providerHands-on use of LLMs / AI models for security tasks, with the judgment to measure where they help and where they failComfort with large datasets (SQL, BigQuery, or similar) to drive research and measure detection accuracyTakes research ideas from prototype to production with minimal guidanceClear written communication — can explain a complex attack path to engineers and product managersM.Sc.
in Computer Science, Cyber Security, or a related fieldNice to have:Published research, CVEs, conference talks, or a bug bounty track recordExperience building AI agents or evaluation frameworks for LLMsBackground in exploit development, red teaming, or penetration testingCode analysis techniques (taint analysis, call graphs, reachability)Contributions to open-source security tools
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📌 Senior Application Security Researcher (Buenos Aires)
🏢 CommIT
📍 Buenos Aires