Lead Security Engineer- Java, Python

Join JPMorgan

Chase's Cybersecurity and Technology Controls organization, where the work you do directly protects one of the world's most complex and consequential technology ecosystems. Here, your engineering decisions matter — not just for the firm, but for the millions of clients and communities we serve every day. This is a place where deep technical ownership, intellectual curiosity, and a commitment to quality are celebrated and rewarded.

As a Lead Security Engineer at JPMorgan

Chase within the Cybersecurity and Technology Controls organization, you are an integral part of a team that delivers software solutions designed to prevent 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 and business functions. You will drive system design, engineering practices, development, and operations across services to deliver high-quality, resilient systems in private and public cloud environments.

• Design and evolve distributed systems with a focus on reliability, scalability, security, and operability across private and public cloud environments
• Contribute hands‑on code in Java and Python, setting the standard for design, readability, testability, and maintainability
• Develop and maintain production‑ready services using Java Spring frameworks, ensuring performance and resilience at scale
• 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.
• Identify and remediate architectural risks, technical debt, and systemic quality gaps before they impact production
• Review design proposals and code changes for correctness, resilience, and long‑term maintainability
• Own production behavior of systems end‑to‑end, including reliability, performance, incident response, and post‑incident improvements
• Champion strong software development lifecycle practices including design reviews, testing strategy, release hygiene, and rollback planning
• Ensure systems continuously meet security, audit, and compliance expectations as a core part of day‑to‑day engineering
• Serve as a technical mentor and role model, elevating the craft of senior engineers across the team
• 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.

• Formal training or certification on security engineering concepts and 5+ years applied experience
• Demonstrated experience designing and operating cloud-native systems in production environments
• Strong proficiency in Java and/or Python with a proven track record of delivering high-quality, maintainable code
• Experience designing and working with relational and No
  
  SQL databases (e.g., DynamoDB, MongoDB) in production systems.
• 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.
• Ability to review and validate AI‑assisted code/security recommendations before adoption, escalating uncertainty and ensuring outcomes align to security, resiliency, and auditability expectations.
• Solid understanding of software engineering best practices including automated testing, continuous integration and delivery, and release management
• Experience owning production systems including incident management, on‑call responsibilities, and post‑incident reviews
• Excellent written and verbal communication skills, with the ability to clearly articulate technical decisions to both technical and non‑technical audiences.

• Experience working in regulated or highly controlled environments such as financial services, healthcare, or government
• Deep understanding of cloud and event‑driven architectures and their security implications
• Familiarity with security compliance frameworks and audit‑defensible engineering practices
• Strong grasp of operational excellence principles including monitoring, alerting, and observability strategies
• Experience with networking concepts in cloud environments, including virtual private clouds, security groups, and traffic management