Application Security Engineer · IT Infrastructure

Sat, 18 Apr 2026 22:14:17 GMT
Engineering

IT Infrastructure · Dublin, Ireland · onsite

We are seeking an experienced Application Security Engineer to join our team. As a subject matter expert, you will have direct experience in a wide range of security technologies, tools, and methodologies. The role is suited for an experienced Application Security engineer with proven understanding in enterprise security and AI security and will focus on building toolsets and processes to drive adoption of secure practices across the enterprise.

The team fosters a collaborative environment and is building a best-in-class program to partner with the business to protect the Firm’s information and computer systems. Millennium is a complex and robust technical environment and securing the Firm from external and internal threats is a top priority.

Responsibilities

Define and implement security guardrails for Generative AI, LLMs, and Agentic frameworks, ensuring safe enterprise adoption.

Conduct specialized threat modeling, red teaming, and risk assessments for AI/ML models (e.g., testing for prompt injection, model theft, and data poisoning).

Lead risk management activities, including application risk assessments, design reviews, and mitigation strategies for IT projects.

Engage throughout the SDLC to identify vulnerabilities, conduct code reviews/penetration testing, and enforce secure coding standards.

Evangelize AppSec and AI security best practices through developer education, training materials, and outreach.

Design robust security architectures and integrate automated security testing (SAST/DAST/SCA) into CI/CD pipelines.

Partner with Technology, Trading, Legal, and Compliance to create policies and communicate technical risks to non-technical stakeholders.

Qualifications

Bachelor's degree or higher in Computer Science, Computer Engineering, IT Security or related field.

5+ years’ experience working as an Application Security Engineer, Software Engineer, or similar role.

Deep understanding of AI-specific risks (OWASP Top 10 for LLMs) and experience securing applications utilizing LLMs.

Experience working with AI models, Agentic frameworks and security risks associated with AI.

Experience in working with global teams, collaborating on code and presentations.

Demonstrated work experience in hybrid on-premise and Public Cloud environments (AWS/GCP/Azure)

Strong understanding of security architectures, secure configuration principles/coding practices, cryptography fundamentals and encryption protocols.

Experience with common SCM & CI/CD technologies like GitHub, Jenkins, Artifactory, etc. and integrating Security Scanning and Vulnerability Management into the CI/CD Pipelines

Familiarity with static and dynamic security analysis tools, and SCA/SBOM solutions.

Hands on experience with Secrets Management & Password Vault technologies such as Delinea Secret Server and/or Hashicorp Vault, etc.

Strong experience in secure programming in languages such as Python, Java, C++, C#, or similar.

Familiarity with Infrastructure as Code tools (CloudFormation, Terraform, Ansible, etc.)

Familiarity with web application security testing tools and methodologies.

Knowledge of various security frameworks and standards such as ISO 27001, NIST, OWASP, etc.

Knowledge of Linux, OS internals and containers is a plus.

Certifications like CISSP, CISM, CompTIA Security+, or CEH are advantageous.