What are the responsibilities and job description for the Senior Full Stack + DevSecOps Platform Engineer position at InfoVision, Inc.?
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.
Key Responsibilities
- 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.
Required Skills
- Strong hands-on experience with Java/Spring Boot.
- Experience with at least one additional language such as Node.js, Python, or Go.
- Experience building REST APIs, microservices, batch jobs, and platform integrations.
- Hands-on experience with Jenkins and/or GitLab CI/CD.
- Strong understanding of SBOM, dependency scanning, transitive dependencies, CVEs, and container image scanning.
- Experience with tools such as Syft, Grype, CycloneDX, SPDX, JFrog Xray, Sonatype, Fortify, or Veracode.
- Good understanding of CBOM and cryptography inventory, including TLS/HTTPS, certificates, keys, cipher suites, encryption algorithms, hashing algorithms, signing algorithms, keystores, truststores, and secrets.
- Ability to identify weak crypto such as MD5, SHA-1, DES/3DES, RC4, RSA-1024, TLS 1.0/TLS 1.1, and disabled certificate validation.
- Hands-on AWS experience with services such as Lambda, API Gateway, S3, DynamoDB, IAM, ECS/EKS, CloudWatch, X-Ray, Secrets Manager, and KMS.
- Experience with observability tools such as Splunk, ELK/Kibana, CloudWatch, and X-Ray.
- Strong troubleshooting skills across application, pipeline, cloud, and security issues.
- The candidate should understand how to use Claude or similar AI tools in a controlled engineering workflow
Preferred Skills
- Experience building internal developer platforms or security automation platforms.
- Experience with vulnerability management and remediation workflows.
- Experience with policy engines such as OPA or custom rule engines.
- Knowledge of post-quantum cryptography readiness and crypto-agility.
- Experience with certificate lifecycle management, secrets management, and cloud security controls.
- Frontend experience with Angular or React for dashboards and reporting.
Minimum Qualifications
- 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