About This Role
Leading a high-performing team to deliver secure software solutions is the core of this role, focusing on preventing misuse, circumvention, and malicious behavior. As a core technical contributor, you will be responsible for implementing critical technology solutions with tamper-proof, audit-defensible methods across multiple technical areas within various business functions.
Responsibilities
- Execute creative security solutions through design, development, and technical troubleshooting, thinking beyond routine or conventional approaches to build solutions and break down complex technical problems
- Use 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
- Develop secure, high-quality production code, and review and debug code written by others
- Minimize security vulnerabilities by applying industry insights and governmental regulations to continuously evolve security protocols; create processes to determine control effectiveness; and conduct discovery, vulnerability assessments, penetration testing, and threat scenario analysis to identify and assess vulnerabilities
- Work with stakeholders and business leaders to understand security needs and recommend business modifications during periods of vulnerability
- Apply reuse-first, AI-assisted practices within SDLC and toolchain routines to strengthen security testing and control validation, ensuring traceability, auditability, and alignment to resiliency and security expectations
Requirements
- Design and build secure Python solutions (APIs, microservices, automation tools, security utilities) using secure-by-design patterns, least privilege, and defense-in-depth
- Perform secure code development, review, and debugging for Python and adjacent stacks (e.g., containerized workloads, CI/CD), including fixing security defects and improving engineering guardrails
- Demonstrate expertise in cloud and DevOps technologies, including AWS, Google Cloud, Azure, Docker, Kubernetes, Jenkins, and GitLab
- Be skilled in working with databases such as MongoDB, PostgreSQL, and NoSQL systems
- Maintain a strong background in data science and AI, including deep learning, NLP, GenAI, RAG concepts, prompt engineering, and data visualization
- Apply experience in secure coding, model validation, and data privacy
- Exhibit excellent problem-solving, communication, and teamwork skills
Nice to have:
- Experience with LLM fine-tuning, prompt engineering, and multi-modal AI integration
- Familiarity with CI/CD pipelines and automation tools
- Knowledge of frontend frameworks such as React and Next.js
- Certifications in AI/ML, Kubernetes, AWS, or cybersecurity
- Exposure to cybersecurity frameworks and compliance standards
Benefits
- Comprehensive health care coverage
- On-site health and wellness centers
- Retirement savings plan
- Backup childcare
- Tuition reimbursement
- Mental health support
- Financial coaching
About the Company
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
