Lead Security Engineer - Java/python

JPMorgan Chase JPMorgan Chase · Banking · Plano, TX +1 · Corporate Sector

This role is for an experienced Software Engineer at JPMorgan Chase focused on security. While the role utilizes enterprise-authorized AI capabilities to enhance security workflows like threat modeling and vulnerability analysis, its core function is not building AI models but applying them to security engineering tasks within a large corporate environment. The engineer will design, develop, and maintain secure and resilient systems using Java or Python, contributing to product teams and ensuring the quality and security of software applications.

What you'd actually do

  1. Uses enterprise-authorized AI capabilities within the work environment to accelerate threat modeling, vulnerability analysis synthesis, and security documentation, validating outputs and ensuring sensitive data is handled appropriately.
  2. Executes software solutions, design, development, and technical troubleshooting
  3. Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  4. Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  5. Applies reuse-first, AI-assisted practices within SDLC/toolchain routines to strengthen security testing and control validation, ensuring traceability/auditability and alignment to resiliency and security expectations.

Skills

Required

  • Hands-on practical experience in system design, application development, testing and operational stability
  • Proficient in coding in Java or Python languages
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support security engineering workflows with strong validation habits and awareness of data sensitivity
  • Overall knowledge of the Software Development Life Cycle
  • Ability to review and validate AI-assisted code/security recommendations before adoption, escalating uncertainty and ensuring outcomes align to security, resiliency, and auditability expectations.
  • Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Nice to have

  • Familiarity with modern front-end technologies
  • Exposure to cloud technologies

What the JD emphasized

  • enterprise-authorized AI capabilities
  • validate AI-assisted code/security recommendations