Job Description

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