Lead Software Engineer-Security and Privileged Access
On-site · Jersey City, New Jersey, United States
Job Summary
Lead Software Engineer-Security and Privileged Access at JPMorgan Chase within the Corporate Sector-Identity and Access Management team. You will be a core technical contributor responsible for delivering secure, scalable production code, reviewing and debugging others’ code, automating remediation, and driving architecture discussions with vendors and internal teams. You will lead communities of practice, promote diversity and inclusion, and contribute to a culture of security and operational stability while leveraging Java and Python, RBAC/ABAC, authentication and encryption. The role requires deep experience across the Software Development Life Cycle, CI/CD, cloud-native technologies, real-time messaging, and a strong understanding of financial services IT systems. Based in Jersey City, NJ, this full-time position emphasizes secure design, architecture evaluation, and hands-on engineering leadership.
Required Qualifications
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in Java and Python programming language(s)
- Strong design and Object Oriented Programming (OOP) and Design Patterns
- experience in authentication, authorization, encryption and role and attribute based access controls (RBAC and ABAC)
- Demonstrate proficiency in automation and continuous delivery methods
- Apply advanced understanding of agile methodologies, including CI/CD, application resiliency, and security
- Exhibit expertise across all aspects of the Software Development Life Cycle
- Utilize practical experience with cloud-native technologies and real-time messaging
- Leverage in-depth knowledge of the financial services industry and related IT systems
- Work with SQL and NoSQL databases within technical disciplines such as cloud, artificial intelligence, machine learning, or mobile
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