Build dashboards and reports for application inventory, vulnerability posture, crypto posture, remediation status, and SLA tracking.
Integrate security tools such as Syft, Grype, CycloneDX, JFrog Xray, Sonatype, Checkmarx, Fortify, Veracode, or similar tools.
Build AI-assisted remediation workflows 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 remediations go through build, test, scan, approval, audit, and rollback workflows before merge or deployment.
Work closely with application, security, DevOps, and platform teams.
Required Skills:
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.
Strong hands-on backend development 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.
Good understanding of CBOM and crypto inventory, including TLS/HTTPS, Certificates, Keys, Cipher suites, Encryption algorithms, Hashing algorithms, Signing algorithms
Keystores/truststores, Secrets management
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, KMS
Experience with monitoring and troubleshooting tools such as Splunk, ELK/Kibana, CloudWatch, and X-Ray.
Strong troubleshooting skills across application, pipeline, cloud, and security issues.
AI Auto-Remediation Expectations:
The candidate should understand how to use Claude or similar AI tools in a controlled engineering workflow, including:
Vulnerability finding ingestion
Code and dependency analysis
Impact assessment
Branch creation
Code/config updates
Test execution
SBOM/CBOM
regeneration
Pull request creation
Human approval for high-risk changes
Audit and rollback controls
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.