Lead Software Engineer - Java / Equities Risk
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. Drive the delivery of a best in class platform for real-time derivatives pricing, risk management, and streaming position aggregation for a range of complex financial products.
Job responsibilities
- Works directly with business, quant and technology teams to articulate new technology requirements and solve business problems
- Collaborates with other members of a globally distributed team to brainstorm new ideas / solutions, and provide mentoring and technical expertise to the team
- Develops specific enhancements and/or build new solutions to fulfill business objectives related to new business requirements
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.
- Ensures technology solutions meet business and client requirements, while ensuring they are robust and supportable
- Documents release procedures and support notes for deliverables to enable proper support by our production management groups.
- Provides 3rd Level production support to analyze issues observed in production, provide detailed analysis and recommendations to production management groups, and identify opportunities to improve the production system
- Mentors junior Java developers and conduct code and design reviews
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- 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
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
- 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 with Test-Driven Development (TDD) using tools such as JUnit and mocking frameworks
- Ability to work in a 3rd Level advanced support capacity and supporting production environments, responding to user concerns, and taking ownership of production issues
- 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