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Senior Automation Engineer - AI-Driven
Anagha Techno SoftNew York, NY🇺🇸United StatesPosted 19 Aug 2026
Quick Overview
Work Type
On Site
Level
Mid Senior
Job Description
Position: Senior Automation Engineer
Location: NYC, NY (3 days onsite is must )
Duration: 12 Months
Role: Automation Engineer AI-Driven Code Security & Remediation Framework
Role Summary
Builds and operates a system that scans GitHub/Artifactory 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
Skills
Docker
SQL
Airflow
Bash
GitHub Actions
Jenkins
LLM
Python
SAFe
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