Senior Application Security Engineer

Hewlett Packard Enterprise • Durham, NC

1d • Hybrid

About The Position

Hewlett Packard Enterprise is the global edge-to-cloud company, dedicated to advancing how people live and work by helping companies connect, protect, analyze, and act on their data and applications from edge to cloud. The company fosters a culture that values innovation, diverse backgrounds, work-life flexibility, and collaborative bold moves. This role is for an experienced Application Security Engineer to join the Cyber Security organization, focusing on enhancing the security of applications, APIs, and CI/CD pipelines. The position involves partnering with engineering, architecture, and DevOps teams to integrate security throughout the SDLC, implement and optimize WAF policies, strengthen supply chain and pipeline security, and promote secure API and application design across the enterprise. It requires a hands-on security professional with deep technical expertise in application, API, and DevSecOps security, capable of influencing engineering teams within a large enterprise.

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.

Nice To Haves

• 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.

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.

Benefits

• Health & Wellbeing: comprehensive suite of benefits that supports physical, financial and emotional wellbeing.
• Personal & Professional Development: investment in career, specific programs to reach any career goals (knowledge expert in your field or apply your skills to another division).
• Unconditional Inclusion: inclusive work environment, varied backgrounds valued, flexibility to manage work and personal needs.
• Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees