Lead Security Engineer - Java Full Stack Developer

Push the limits of what’s possible with us as an experienced member of our Software Engineering team.

As an Experienced Software Engineer at JPMorgan

Chase within the Global Technology team, you serve as member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. Depending on the team that you join, you could be developing mobile features that give our customers and clients more control over how they bank with us, strategizing on how big data can make our trading systems quicker, creating the next innovation in payments for merchants, or supporting the integration of our private and public cloud platforms.

• Participates in, design and develop scalable and resilient systems using Java or Python to contribute to continual, iterative improvements for product teams
• 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.
• Executes software solutions, design, development, and technical troubleshooting
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces or contributes to architecture and design artifacts for applications while ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect
• 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.

• 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.)

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