Lead Software Engineer, Securities Services Technology

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank (CIB) Securities Services Technology Instructure Capture team you are an integral part of an agile team that designs enhances builds and delivers trusted market-leading technology products in a secure stable and scalable way. As a core technical contributor and team leader you will drive critical technology solutions across multiple technical areas and business functions in support of the firms objectives.

Job Responsibilities

• Executes creative software solutions including design development and technical troubleshooting with the ability to think beyond routine approaches to build solutions and break down complex technical problems.
• Develops secure high-quality production code and maintains algorithms and services that operate reliably with dependent systems; reviews debugs and improves code written by others.
• Produces and maintains architecture and design artifacts for complex applications; ensures design constraints (security resiliency performance scalability) are realized in implementation.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality delivery speed and operational outcomes (e.g. AI-assisted code review/refactoring test strategy acceleration incident/root-cause analysis support) while setting consistent validation standards (secure coding peer review automated testing) and promoting reuse of effective patterns.
• Applies strong knowledge of the SDLC toolchain (CI/CD automation quality observability) including enterprise-authorized AI-assisted development and automation capabilities to increase the value realized from automation.
• Identifies opportunities to eliminate recurring issues and/or automate remediation to improve the operational stability of software applications and systems.
• Gathers analyzes and synthesizes insights from large diverse datasets developing visualizations and reporting in service of continuous improvement of applications and systems.
• Proactively identifies hidden problems and patterns (including from data and operational signals) and uses insights to improve coding hygiene and system architecture.
• Contributes to software engineering communities of practice and events that explore new and emerging technologies; mentors engineers and strengthens a culture of diversity opportunity inclusion and respect.
• Leads evaluation sessions with external vendors startups and internal teams to assess architectural designs technical credentials and applicability within existing systems and information architecture.

Required Qualifications Capabilities and Skills

• 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 proficiency in one or more programming languages with strong practical experience in a large corporate environment (e.g. Java / J2EE and related ecosystem); experience with database querying languages.
• Proficient in all aspects of the Software Development Life Cycle and strong understanding of agile methodologies including CI/CD application resiliency and security.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (coding code review test acceleration troubleshooting) and setting team expectations for validating AI outputs for correctness performance and security.
• Strong understanding of responsible AI use in engineering workflows (data sensitivity secure handling of inputs/outputs adherence to resiliency and security expectations); experience coaching engineers on safe compliant adoption.
• Demonstrated knowledge of software applications and technical processes within at least one technical discipline (e.g. cloud AI/ML mobile etc.).
• Practical cloud-native experience.
• In-depth knowledge of the financial services industry and IT systems.

Preferred Qualifications Capabilities and Skills

• Familiarity with modern front-end technologies.
• Exposure to cloud technologies