CareerPlan

Application Security Engineer

USARemoteFull-time2026-11-10 → 2026-11-11
HybridNo visa sponsorship

Core

Develop secure software development lifecycle (SSDLC) programs, DevSecOps pipeline integrations, and security assessments of AI-enabled and agentic applications.

Role type

Application Security Engineer (DevSecOps & AI Security)

Builds

Secure CI/CD pipelines, software supply chain controls, and AI security workflows for client organizations.

Domain

Cybersecurity, Application Security, DevSecOps, AI/LLM Security

Required skills

Application security testing (SAST/DAST/SCA), DevSecOps automation, Secure code review, Threat modeling, Software supply chain security, Cloud security (AWS/Azure/GCP), Container security (Docker/Kubernetes), IaC security (Terraform/CloudFormation), AI tooling integration, Vulnerability management, Remediation guidance

Preferred skills

Invicti, Checkmarx, Snyk, Veracode, Black Duck, Semgrep, GitHub Advanced Security, Agentic AI workflow automation, SLSA, Sigstore, Checkov, Trivy, Wiz, STRIDE, OWASP SAMM/BSIMM/NIST SSDF, Security certifications (GWAPT/OSWE/OSCP/CSSLP/CDP/AWS Security Specialty)

Technologies

GitHub Actions, GitLab CI, Azure DevOps, Jenkins, Burp Suite Pro, Jira, ServiceNow, Python, Bash, PowerShell, JavaScript/TypeScript, Java, C#, Go, PHP, C/C++, Docker, Kubernetes, Terraform, CloudFormation, AWS, Azure, GCP

Responsibilities

Run and tune SAST, DAST, SCA, secrets, and IaC scanning tools; triage results and deliver remediation guidance. Design and implement security tool integrations into CI/CD pipelines, source control, IDEs, and ticketing systems. Partner with development teams on remediation, secure coding guidance, and developer enablement. Assess and harden software supply chain controls including SBOM generation, dependency scanning, and artifact signing. Perform threat modeling and security architecture reviews for cloud-native, microservice, and container environments. Leverage AI-assisted tooling to accelerate testing and advise on secure AI adoption. Produce client-ready deliverables and present findings to technical and executive audiences.

Seniority

Mid-level, hands-on IC