Job description

Take on a crucial role where you'll be a key part of a high-performing team delivering secure software solutions. Make a real impact as you help shape the future of software security at one of the world's largest and most influential companies. As a Lead Security Engineer at JPMorgan Chase within the Cybersecurity and technology controls, you are an integral part of team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. As a core technical contributor, you are responsible for carrying out critical technology solutions with tamper-proof, audit defensible methods across multiple technical areas within various business functions. Job responsibilities • Development and deploy software for AI technology controls in-line with requirements (e.g., model vulnerability management technologies, AI firewalls, etc.) and integrate the controls into the broader JPMC cybersecurity eco-system • Hands-on software engineer with extensive development experience in Java and Python coding, scripting, and development • Subject matter expert in securing AI/ML systems with practical experience in AI and machine learning technologies • Solid understanding of AI system attack surfaces, threats, and mitigating controls throughout the MDLC • Knowledgeable in AI safety, AI alignment, AI cybersecurity concepts, and trends, including GenAI security • Strong understanding of cloud computing concepts and services, including AWS and Azure • Proficient in cloud infrastructure as code (IaC) tools like Terraform • Knowledgeable in containers and container orchestration technologies such as Docker, Kubernetes, and Helm Required qualifications, capabilities, and skills • Formal training or certification on software engineering concepts and 5+ years applied experience. • Hands-on software engineer with extensive development experience in Java and Python coding, scripting, and development • Knowledgeable in AI safety, AI alignment, AI cybersecurity concepts, and trends, including GenAI security • Strong understanding of cloud computing concepts and services, including AWS and Azure Preferred qualifications, capabilities, and skills • AWS Certified Machine Learning – Specialty or Microsoft Certified: Azure Data Scientist Associate • AWS Certified Security – Specialty or Microsoft Certified: Cybersecurity Architect Expert certification

Requirements