Senior Application Security Developer

Job Requisition ID: 26WD97513

Overview

We are building secure, cloud‑native applications and want a Senior Application Security Developer to help us embed security throughout the software development lifecycle. The role focuses on secure design, threat modeling, code review, vulnerability assessment, secure coding guidance, and security testing in CI/CD pipelines. In this position you will work across modern applications, APIs, services, and developer platforms to identify and mitigate risks, including those related to AI‑enabled systems.

Responsibilities

• Partner with engineering teams to embed security throughout the software development lifecycle, including design reviews, threat modeling, implementation guidance, code review, and release readiness.
• Identify, validate, and help remediate common application security vulnerabilities, such as injection, broken access control, authentication and authorization flaws, data leakage, insecure deserialization, and server‑side request forgery.
• Support security reviews of AI‑enabled applications and AI‑assisted development workflows, addressing risks related to LLM‑integrated systems, coding assistants, prompt injection, sensitive data exposure, and unsafe model or tool interactions.
• Develop and maintain secure coding guidance, reusable security patterns, and engineering enablement materials for application, API, cloud, and data protection risks.
• Integrate and improve application security testing in CI/CD pipelines, including SAST, DAST, SCA, secrets detection, infrastructure‑as‑code scanning, and other automated controls.
• Provide developer education on secure coding, threat modeling, vulnerability remediation, secure use of third‑party components, and safe adoption of emerging technologies.
• Track, prioritize, and report application security risks and trends to continuously improve Autodesk’s product security posture.

Minimum Qualifications

• Strong understanding of application security fundamentals, including OWASP Top 10, secure software design, common vulnerability classes, and practical mitigation techniques.
• Hands‑on experience securing modern web applications, APIs, microservices, and cloud‑native systems.
• Experience performing secure design reviews, threat modeling, code reviews, vulnerability assessments, or penetration testing.
• Practical knowledge of authentication, authorization, session management, data protection, input validation, output encoding, and secure API design.
• Experience identifying and mitigating vulnerabilities such as injection, broken access control, insecure deserialization, server‑side request forgery, cross‑site scripting, data leakage, and insecure configuration.
• Experience integrating security testing and controls into CI/CD pipelines and DevSecOps workflows.
• Familiarity with common application security tooling, such as SAST, DAST, SCA, secrets scanning, container scanning, or API security testing tools.
• Proficiency in scripting or programming (Python, JavaScript, Go, Java, or similar) for automation, testing, or prototyping.
• Ability to communicate complex security risks clearly and translate them into practical, actionable guidance for engineering teams.
• Familiarity with emerging AI/LLM security risks, such as prompt injection, data exposure, unsafe tool invocation, and secure use of AI coding assistants.

Preferred Qualifications

• Background in application security, product security, or security engineering for large‑scale software products or cloud services.
• Experience building or improving secure development lifecycle programs, including developer enablement, security standards, secure design patterns, and automated security controls.
• Familiarity with cloud security concepts across AWS, Azure, or GCP.
• Experience working with engineering teams to prioritize security findings based on exploitability, business impact, and customer risk.
• Knowledge of software supply chain security, including dependency management, SBOMs, package integrity, build pipeline security, and third‑party component risk.
• Experience securing APIs, distributed systems, SaaS platforms, or multi‑tenant cloud environments.
• Familiarity with AI‑enabled applications, LLM‑integrated systems, AI coding assistants, or security testing approaches for AI‑assisted development workflows.
• Experience contributing to internal security standards, playbooks, secure coding guidance, or developer training programs.