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As a Lead Software Engineer at JPMorganChase 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.
Job responsibilities
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
Required qualifications, capabilities, and skills
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
Preferred qualifications, capabilities, and skills
- 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
Job description provided by JPMorgan Chase.
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