Job highlights

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

Job Summary

Senior Application Security Engineer

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

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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr Application Security Engineer (Bengaluru)
🏢 Hewlett Packard Enterprise
📍 Bengaluru