Lead Software Engineer, Securities Services Technology

Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's 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 firm's 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