Lead Software Engineer - Java, SpringBoot, AWS, Kafka, Microservices

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 JPMorgan Chase within the Commercial & Investment Bank's Markets Technology - Broker-Dealer group, youwill be 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Writes secure, high-quality production code and performs code reviews and debugging for peers.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcome-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

• Serves as a function-wide subject matter expert in one or more areas of focus

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience in Java software development and architecture
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Proven ability to collaborate with global agile teams
• Strong knowledge in Core Java (Java 17+), Spring Boot, REST, Kafka, Microservices, Agile, DevOps
• Deep experience in object oriented analysis and design (OOAD)
• Good SQL/PL-SQL Skills and Hibernate/JPA
• Proficiency in automation and continuous delivery methods
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Stay abreast of industry trends, emerging technologies, hands-on experience in usage of AI related tools in everyday work.
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud for deploying and managing AI solutions.
• Requires innovative, out-of-the-box thinking to design applications that transform existing mainframe functionalities and develop new features using distributed or modern technologies.

Preferred qualifications, capabilities, and skills

• Exhibits strong analytical and problem-solving abilities, offering technical thought leadership in evaluating emerging technologies and influencing stakeholders, user groups, and global technology teams to solve complex problems at scale.
• Demonstrates a passion for architectural design that drives innovation across applications and teams, with extensive experience delivering large-scale enterprise software systems in regulated, real-world environments.

• Demonstrated experience in greenfield development and the ability to work autonomously in fast-paced, deadline-driven environments.

• Experience working with enterprise-scale data assets such as MDM, EDW, and data lakes, and navigating diverse technology landscapes and process/technology integration challenges.
• Experience in leading or contributing to modernization projects involving migration of mainframe applications to distributed technologies.