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.
Requirements
Must-have skills:
- 5+ years hands-on in offensive security, vulnerability research, or application security
- Deep understanding of web application and API vulnerabilities, including business-logic flaws and multi-step attack chains
- Strong coding in Python, Go, or similar, with production-quality code shipped
- Experience building or tuning detection logic (SAST, DAST, SCA, secrets, or custom rule engines) and reducing false positives
- Solid grasp of modern stacks: CI/CD pipelines, containers, Kubernetes, and at least one major cloud provider
- Hands-on use of LLMs / AI models for security tasks, with the judgment to measure where they help and where they fail
- Comfort with large datasets (SQL, BigQuery, or similar) to drive research and measure detection accuracy
- Takes research ideas from prototype to production with minimal guidance
- Clear written communication - can explain a complex attack path to engineers and product managers
- M.Sc. in Computer Science, Cyber Security, or a related field
Nice to have:
- Published research, CVEs, conference talks, or a bug bounty track record
- Experience building AI agents or evaluation frameworks for LLMs
- Background in exploit development, red teaming, or penetration testing
- Code analysis techniques (taint analysis, call graphs, reachability)
- Contributions to open-source security tools
