Lead Software Engineer - Java, SpringBoot, Multithreading, Kafka

If you enjoy solving complex problems and designing resilient, mission-critical systems, this role offers strong ownership and technical depth.

As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Prime Finance Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications

Job responsibilities

• Provides technical guidance and direction to support the business and its technical teams, contractors, and vendors regulary
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment 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 establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

• Influences peers and project decision-makers to consider the use and application of leading-edge technologies

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Extensive experience with Java, Spring Boot and related technologies.
• Hands-on coding experience in Java, and understanding of Java Core concepts including object-oriented design, memory management, multi-threading/concurrency, and new language features up to Java 21 while leading team of Software Engineers.
• Expertise in Databases, relational (Oracle), and No-SQL
• Must have messaging platforms experience like Kafka, IBM MQ, MSK.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the 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 considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
• Exposure to agile methodologies such as CI/CD, Applicant Resiliency, and Security
• Ability to tackle design and functionality problems independently with little to no oversight
• Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile)
• Experience building micro services and design patterns

Preferred qualifications, capabilities, and skills

• Exposure to cloud technologies especially hands-on with AWS or on-prem cloud like GAP/GKP. If experience with Azure or GCP then should be hands on.
• Exposure to AI