Description

Core Technical Skills
Programming: Strong Python (scanners, orchestration, API integration); basic Bash for CI/CD glue
Source & Artifact Systems: GitHub (Actions, Advanced Security, PR workflows) and JFrog Artifactory/Xray; ability to scale across multi-repo, multi-language codebases
Scanning Tools: Hands-on with Snyk, Xray, CodeQL / Dependabot, Trivy, or Semgrep; understanding of CVE/CVSS scoring and EOL-detection sources (e.g., endoflife.date)
AI-Driven Remediation: Building agentic workflows (LLM-based) that interpret findings, generate patch PRs, run tests, and summarize fixes; prompt engineering for code-editing agents
CI/CD & Orchestration: Integrating scan-and-fix pipelines into GitHub Actions/Jenkins; Docker for isolated fix-testing; scheduling via Airflow/cron
Reporting: Structuring findings (JSON/SQL) into dashboards for tracking coverage and trends

Supporting Skills
Security fundamentals (injection, auth flaws, supply-chain/SBOM risk)
Risk-based prioritization beyond raw CVSS scores
Semantic versioning awareness for safe auto-upgrades
Testing discipline — regression validation before auto-merge

Communication Skills
Translating vulnerability data into concise, risk-framed leadership updates (exposure counts, MTTR, fix-rate trends)
Writing clear status emails on scan coverage and outstanding critical items
Building the business case (time saved, risk reduced) for non-technical stakeholders

Key Skills

Education

Bachelor's degree