Lead Software Engineer - Java - Equities

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As a Lead Software Engineer at JPMorgan

Chase within the Commercial and Investment Bank - Global Equity Derivatives Risk Management 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. 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.

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• 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.
• 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 outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Expertise in Java Core concepts, including object-oriented design,memory management, multi-threading/concurrency,and new language features up to Java 17
• Advanced hands-on coding experience with Java technologies/frameworks such as Spring/Spring Boot, Spring JPA/Hibernate, and REST based services
• Strong experience with JVM performance analysis, including profiling, heap dump analysis, thread dump analysis, and GC tuning
• Experience designing and implementing scalable microservice architectures with high resiliency capabilities
• Proficiency in Unix/Linux environments, ability to navigate the system, investigate processes and logs, analyze system performance using tools such as Dynatrace
• Experience with Databases - relational and No-SQL (Sybase, Oracle, Mongo DB), Expertise with Messaging Middleware platforms (Kafka/RabbitMQ), and exposure to cloud compute platforms, including AWS
• Proven experience with full development lifecycle and tools, including Git/Bitbucket, Jira, Jenkins, Gradle, and Maven
• 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

• Experience of working in financial services and understanding of equity derivative products
• Hands-on coding experience with Python
• Experience with UI concepts, languages and platforms including JavaScript/REACT, AngularJS, Typescript, HTML5, CSS3
• In-depth knowledge of AWS Public Cloud products and solutions (EC2, S3, Lambda, EFS)
• Cloud certification - AWS or Kubernetes