Role Summary

Role is responsible for validating security findings, applying standardized labels, creating an expert-verified golden dataset, and evaluating the accuracy and reliability of AI agents.

Requirements/Skills

- Security Engineer / Application Security Reviewer (primary):- secure code review; vulnerability identification and triage; exploitability reasoning; common classes such as injection, auth/authz, SSRF, insecure deserialization, secrets and misconfiguration; evidence-backed verdicts
- GCP (Google Cloud Platform)/ Cloud Security Engineer (primary or complementary) :-GCP IAM, service accounts, networking, storage, workload identity, audit logging, cloud misconfigurations and least privilege; ability to judge cloud-specific exposure.
- Security QA / Benchmark Lead (recommended function ) :-Calibration,



rubric writing, reviewer alignment, adjudication tracking, benchmark versioning and structured quality reporting.

Qualifications

- Graduates with a Bachelor's degree in CSE, IT, Cybersecurity, Information Security, or an equivalent relevant discipline may also be considered based on relevant technical skills .
- 4-8+ years of professional experience
- Robust knowledge of application security, vulnerability assessment, and secure coding practices.
- Experience reviewing security findings and validating technical evidence, severity, impact, and remediation guidance.

📌 Freelance Security Engineer/Cloud Security Engineer (India)
🏢 Uber AI Solutions
📍 India