Senior Application Security Engineer

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We are seeking an experienced Application Security Engineer to join our Cyber Security organization and strengthen the security of our applications, APIs, and CI/CD pipelines. In this role, you will partner with engineering, architecture, and DevOps teams to embed security into the SDLC and promote secure API and application design across the enterprise.

Responsibilities:

• Integrate security practices throughout the SDLC in partnership with engineering and DevOps teams
• Promote secure coding standards, tooling, and automation
• Design, implement, and maintain security controls within CI/CD platforms (GitHub Actions, Jenkins, GitLab, Azure DevOps, etc.)
• Ensure software integrity through code signing, artifact validation, and provenance
• Automate SAST, DAST, SCA, and container image scanning in the build and release pipelines
• Automated AI specific vulnerability scanning into CI/CD to catch insecure LLM orchestration patters
• Identify and remediate misconfigurations and access control gaps in pipeline environments
• Design, deploy, and tune WAF rules and API security protections
• Conduct API risk assessments and promote secure API design patterns
• Perform secure code reviews and support automated security testing coverage across pipelines
• Triage, prioritize, and track vulnerabilities across source code, CI/CD pipelines, and deployed services
• Facilitate threat modeling for applications, APIs, and delivery pipelines
• Perform threat modeling on RAG architecture and autonomous agents
• Expand security automation around API discovery, dependency scanning, SBOM generation, and secrets detection
• Mentor engineering teams on secure coding and secure pipeline practices
• Support the Security Champions program
• Act as a trusted advisor to product, platform engineering, and DevOps teams, translating technical risks into business impact
• Partner with SOC/IR teams during software supply chain or pipeline-related security incidents
• Assess and guide the secure adoption of AI capabilities within enterprise applications—focusing on data security, access controls, model input/output handling, and preventing misuse within internal systems
• Leverage AI‑powered security tools to identify anomalies, code risks, and pipeline misconfigurations within internal applications and CI/CD systems

Requirements:

• 5–8+ years in Application Security, Product Security, or Secure Software Development
• Hands-on experience securing CI/CD pipelines and source repositories (GitHub, GitLab, Jenkins, etc.)
• Knowledge of supply chain security frameworks (SLSA, NIST SSDF)
• Experience with secrets management, artifact signing (Sigstore, Cosign), and build integrity
• Strong background in WAF tuning, API security, and vulnerability remediation
• Proficiency in at least one programming language (Python, Java, Go, JavaScript/Node.js)
• Experience with SAST, DAST, SCA, and container scanning tools
• Cloud security experience (AWS, Azure, or GCP)
• Strong understanding of OWASP Top 10 (Web & API), CWE, and secure coding practices
• Familiarity with OWASP Top 10 for LLM Application and MITRE ATLAS
• Experience integrating SBOM generation and SCA into CI/CD workflows
• Knowledge of runtime protection tools (API security platforms, RASP, container EDR)
• Experience with GitOps, IaC scanning (Terraform, CloudFormation), and policy-as-code
• Background handling software supply chain or dependency poisoning incidents
• Relevant certifications: OSWE, CSSLP, GPCS, GWEB, GCSA