Lead Security Engineer - Python, Cloud

Join a high-performing team where your expertise in software security will drive impactful solutions. Grow your career as you help shape the future of secure technology at JPMorgan Chase.

As a Lead Security Engineer at JPMorgan Chase within the Cybersecurity and technology controls team, you deliver software solutions that meet functional and user requirements while preventing misuse and malicious behavior. You play a key role in providing critical technology solutions using tamper-proof, audit-defensible methods across multiple technical areas. You are an integral part of a collaborative team, contributing to secure and scalable enterprise-grade solutions.

Job responsibilities

• Execute creative security solutions, design, development, and technical troubleshooting to break down complex technical problems
• Develop secure, high-quality production code review and debug code written by others, focusing on Python backend development and public cloud (AWS/Azure/GCP)
• Design and develop APIs and backend services using Python modules, ensuring robust and scalable solutions
• Minimize security vulnerabilities by applying industry insights and governmental regulations to evolve security protocols
• Partner with platform and cloud security teams to ensure secure infrastructure configuration and alignment with enterprise security architecture
• Collaborate with stakeholders and business leaders to understand security needs and recommend business modifications during periods of vulnerability
• 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.
• 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.

Required qualifications, capabilities and skills

• Formal training or certification on security engineering concepts and 5+ years applied experience
• Strong engineering foundation with substantial expertise in Python programming and cloud security engineering
• Advanced hands-on programming skills in one or more languages
• Experience with Infrastructure as Code (IaC) tools such as Terraform, AWS CloudFormation, Google Deployment Manager, or Azure Resource Manager
• Skilled in architecture, planning, designing, and implementing enterprise-level applications
• Experience with ideation to production-ready application development
• Proficient across the Software Development Life Cycle (SDLC) in public cloud environments
• 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.
• Advanced understanding of agile methodologies such as CI/CD, application resiliency, and security

Preferred qualifications, capabilities and skills

• Hands-on experience with AI/ML backend product development
• Cloud computing related certifications with an AWS/Azure/GCP focus, such as AWS Certified Security, Solutions Architect, Developer Engineer, or similar
• Golang programming experience