Platform Security Researcher (AI Security)

Location: Not specified

Company

hirify.global develops a cloud security platform that uses runtime context and eBPF-powered sensors to identify, prioritize, and protect against risks across cloud infrastructure.

What you will do

• Research risks across source code, infrastructure-as-code, dependencies, CI/CD pipelines, artifacts, and runtime environments.
• Map end-to-end code-to-cloud attack paths and turn findings into actionable posture and remediation logic.
• Lead research into sensitive-data storage, classification, movement, exposure, and DSPM risk logic.
• Correlate eBPF runtime context with code, pipeline, data, and cloud findings to prioritize reachable and exploitable risks.
• Apply AI and ML techniques to improve policy-engine accuracy, coverage, analytics, and risk prioritization.
• Lead product initiatives from research through production in collaboration with product, backend, and go-to-market teams.

Requirements

• 5+ years of experience in cybersecurity research, cloud security, or DevSecOps, particularly in cloud environments.
• Deep understanding of DevOps and CI/CD environments, including GitHub Actions, GitLab CI, Jenkins, infrastructure-as-code, containers, and Kubernetes.
• Hands-on experience with AWS, GCP, or Azure, including cloud data and identity services.
• Ability to analyze complex low-level, cloud, and data architectures and reason about data stores and data flows.
• Hands-on scripting with Python or similar languages and query-language experience such as SQL.
• Excellent written and oral communication skills in English.

Nice to have

• AI security research or experience securing AI/ML pipelines and workloads.
• DSPM, data classification, software supply-chain security, SBOM, dependency, or artifact security experience.
• Knowledge of graph analytics, clustering, anomaly detection, or statistical modeling.
• Open-source security tooling contributions or public research and conference experience.

Culture & Benefits

• Opportunity to work on cloud security, DevSecOps, data security, runtime protection, and AI systems.
• Autonomous ownership of research initiatives in a dynamic and demanding environment.
• Close collaboration across product, backend, and go-to-market functions.
• Freedom to explore creative ideas and contribute directly to product growth.