Senior Full Stack + DevSecOps Platform Engineer Irving, TX (3 days onsite in a week) Longterm Contract F2F interview SBOM / CBOM Inventory, Vulnerability Scanning & AI Auto-Remediation We are looking for a hands-on Senior Full Stack + DevSecOps Platform Engineer to help build an internal security automation platform for SBOM/CBOM inventory, vulnerability scanning, and Claude-based auto-remediation . This is not a traditional full-stack developer role. The right candidate should be able to build applications, design CI/CD pipelines, integrate security scanning tools, understand cryptography inventory, and automate remediation safely.
Design and build a centralized platform for SBOM and CBOM inventory . Scan applications, repositories, containers, dependencies, certificates, keys, crypto algorithms, TLS configurations, and runtime components. Integrate SBOM/CBOM and vulnerability scanning into Jenkins/GitLab CI/CD pipelines . Identify vulnerable dependencies, CVEs, weak cryptography, expired certificates, insecure TLS versions, hardcoded secrets, and non-compliant libraries. Build automation workflows to support remediation using Claude or similar AI coding agents . Automate safe fixes such as dependency upgrades, base image updates, configuration changes, and pull request creation. Ensure all AI-assisted remediations are validated through build, test, scan, approval, and audit workflows before merge or deployment. Build dashboards and reports for application inventory, vulnerability posture, crypto posture, remediation status, and SLA tracking. Work closely with application, security, DevOps, and platform teams.
8+ years of software engineering experience. 3+ years of DevOps, DevSecOps, platform engineering, or security automation experience. Strong Java/Spring Boot background. Hands-on CI/CD and cloud experience. Practical experience with security scanning and vulnerability remediation. Strong communication skills and ability to work across security, platform, DevOps, and application teams. Ideal Candidate The ideal candidate can code, build pipelines, integrate scanners, understand SBOM/CBOM findings, troubleshoot AWS and production issues, and design safe AI-assisted remediation workflows
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