Senior Automation Engineer

Position: Senior Automation Engineer

Location: NYC, NY (3 days onsite is must)

Duration: 12 Months

Role: Automation Engineer — AI-Driven Code Security & Remediation Framework

focus to primary = 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

Role Summary:

Builds and operates a system that scans  repos for vulnerabilities and EOL libraries, then uses AI-driven automation to remediate findings — cutting manual triage and patch time firm-wide.

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

Continuous Learning

Tracking emerging agentic/AI remediation tools and evaluating fit before firm-wide adoption

Skill Levels:

Expert Level resource: 8 to 10 or more total experience out of which at least three years of experience in the relevant AI driven automation for code scanning and remediation matching the above skills

Advanced level: Total 6 – 8 years of total experience out of which at least three years of experience in the relevant AI driven automation for code scanning and remediation matching the above skills