Senior Application Security Engineer

Senior Application Security Engineer

This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

About Our Cybersecurity Team

Are you ready to make an impact at one of the world’s leading technology companies? HPE’s Cybersecurity team is where you can do just that. We’re looking for a dynamic and experienced Application Security Engineer to join our team. If you’re passionate about shaping the future of cybersecurity and ready for your next challenge, we’d love to hear from you.

About the role

We are hiring an Application Security Engineer to build how our enterprise secures software, from first commit to production. This is not a role for running scans and filing tickets. You will design the guardrails, automation, and AI-powered tooling that let engineering teams ship securely by default, and you will prove they work with data.

You will work as a peer to engineering, architecture, and DevOps leaders and own outcomes across secure SDLC, CI/CD and supply chain integrity, WAF/WAAP and API protection, and AI/LLM security. The right person sees a recurring problem and builds the capability that makes it go away.

What you’ll do:

Secure SDLC & DevSecOps

• Build security into the SDLC as paved roads, so the secure path is the easiest path for every engineering team.
• Define the secure coding standards and reference patterns that teams across the enterprise build against.
• Build the vulnerability prioritization capability that shows where real risk sits across code, pipelines, and deployed services, and drive remediation to measurable closure.
• Establish a threat modeling practice for applications, APIs, and delivery pipelines that scale beyond a single team.

CI/CD & software supply chain security

• Architect the security control layer for our CI/CD platforms (GitHub Actions, Jenkins, GitLab, Azure DevOps) so every pipeline inherits it by default.
• Design the automated testing pipeline that runs SAST, DAST, SCA, and container scanning on every build, tuned for signal over noise.
• Build the automation that keeps our attack surface visible: API discovery, dependency scanning, SBOM generation, and secrets detection.

AI/LLM security & AI-powered automation

• Build reusable AI agent skills and workflows inside CI/CD (e.g., agentic coding tools, MCP-based integrations) that review every pull request for insecure patterns, authN/authZ gaps, secrets exposure, and risky dependency changes, and deliver CWE/OWASP-mapped findings developers can act on.
• Build AI-driven security testing that generates targeted test cases (API abuse cases, fuzzing inputs, prompt-injection and jailbreak suites), triages SAST/SCA/DAST results to cut false positives and proposes remediation PRs for human review.
• Define the guardrails AI agents operate under our pipelines: least-privilege tokens, human-in-the-loop approval, output-accuracy evaluation, and audit logging.
• Build the AI-specific scanning capability that catches insecure LLM orchestration patterns before they ship.
• Establish a reusable threat modeling approach for RAG architectures and autonomous agents.
• Define the framework for secure AI adoption in enterprise applications, covering data security, access controls, model input/output handling, and misuse prevention.
• Familiarity with agentic AI frameworks such as LangGraph and similar orchestration frameworks

Partnership & enablement

• Demonstrated ability to drive initiatives end-to-end, taking ownership of tasks, deliverables, and outcomes.
• Shape product, platform, and DevOps roadmaps as trusted advisors, translating technical risk into business decisions.
• Choose, implement, and prove the tooling that closes the gaps we have today, with metrics that show the impact.
• Grow security capability inside engineering teams through mentoring secure coding and pipeline practices.
• Help scale the Security Champions program into a self-sustaining network.

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What you need to bring:

• 6+ years in Application Security, Product Security, or Secure Software Development, with a track record of building capabilities, not only operating them.
• Has designed security controls for CI/CD pipelines and source repositories (GitHub, GitLab, Jenkins, or similar) at scale.
• Has built and tuned SAST, DAST, SCA, and container scanning, so developers trust and act on the results.
• Has built and tuned WAF and API protections and driven vulnerability remediation to closure.
• Applies SLSA and NIST SSDF to design build integrity, including secrets management and artifact signing.
• Has designed security controls in AWS, Azure, or GCP.
• Deep understanding of OWASP Top 10 (Web & API), CWE, and secure coding practices.
• Working knowledge of OWASP Top 10 for LLM Applications and MITRE ATLAS.

Preferred

• Has built LLM-powered developer or security tooling, including prompt/skill design, tool and MCP integration, and evaluation of output quality and false-positive rates.
• Has implemented signing and provenance with Sigstore/Cosign or similar tooling.
• Integrate SBOM generation and SCA into CI/CD workflows.
• Has deployed runtime protection (API security platforms, RASP, container EDR).
• Has built GitOps, IaC scanning (Terraform, CloudFormation), and policy-as-code guardrails.
• Has led or shaped response to software supply chain or dependency poisoning incidents.
• Relevant certifications: OSWE, CSSLP, GPCS, GWEB, GCSA.
• Writes production-quality code in at least one language (Python, Java, Go, or JavaScript/Node.js) to build automation and tooling.

Soft skills

• Influences developers, DevOps engineers, and leadership through clear communication and well-built tooling, not mandates.
• Automation-first: if a task happens twice, you build the capability that removes it.
• Measures success by outcomes, balancing security with delivery velocity.

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here .

Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

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Job:

Information Technology Job Level:

TCP_04

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