Senior Lead Software Engineer - Security Platforms

JPMorganChase • Jersey City, NJ

2d

About The Position

As a Senior Lead Software Engineer at JPMorganChase within Consumer & Community Banking, you will contribute to an agile team building and delivering secure, stable, scalable technology products. You will use deep technical expertise and problem-solving skills to address challenges across technologies and applications, drive business impact, and serve as a subject matter expert influencing product design, application functionality, and technical operations. You will also contribute to the broader engineering community.

The role focuses on secure software engineering and the effective, responsible use of enterprise-authorized AI-assisted development tools. You will guide teams in applying these tools across the software development lifecycle, set standards for validating AI-generated outputs, and promote reuse of effective patterns to improve engineering quality, delivery speed, and operational outcomes.

Requirements

• Formal training or certification in software engineering concepts and at least 5 years of applied experience.
• Practical experience delivering system design, application development, testing, and operational stability.
• Advanced proficiency in one or more programming languages.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools, including coding, code review, test acceleration, and troubleshooting.
• Ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations.
• Experience coaching senior engineers and leads on compliant AI usage patterns and controls.
• Ability to solve design and functionality problems independently with little to no oversight.
• Practical cloud-native experience.

Nice To Haves

• Experience with large-scale distributed systems in a regulated financial services or enterprise environment.
• Familiarity with DevSecOps practices and integrating security controls throughout the software development lifecycle.
• Experience mentoring or guiding junior and mid-level engineers in technical best practices and engineering standards.
• Exposure to multiple cloud platforms and containerization technologies such as Kubernetes or Docker.
• Demonstrated contributions to open-source projects or internal engineering communities of practice.

Responsibilities

• Provide regular technical guidance and direction to the business, technical teams, contractors, and vendors.
• Develop secure, high-quality production code; review and debug code written by others.
• Drive adoption and governance of approved AI-assisted engineering practices across teams, including code review, refactoring, test acceleration, release readiness, incident analysis, and root-cause analysis.
• Establish measurable standards for validating AI-assisted engineering outputs and promote reuse of proven patterns in the software development lifecycle toolchain.
• Use software development lifecycle tools, including approved AI-assisted development and automation capabilities, to improve the value of automation at scale.
• Influence product design, application functionality, technical operations, and processes through data-driven, outcome-focused decision-making.
• Serve as a function-wide subject matter expert in one or more technical areas.
• Advocate for firmwide frameworks, tools, and practices across the software development lifecycle and contribute to the engineering community.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed