Lead Software Engineer - Full Stack Java

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 Corporate Technology, 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.

- 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. - Drive architectural decisions for distributed systems including event-driven pipelines, CQRS patterns, and real-time data streaming - Develops secure high-quality production code, and reviews and debugs code written by others - 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 - Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies - Adds to team culture of diversity, opportunity, inclusion, and respect - 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

- Formal training or certification on software engineering concepts and 5+ years applied experience - Hands-on practical experience delivering system design, application development, testing, and operational stability - Building production microservices with Spring Boot and Java (21+), including Virtual Threads, Records, and Pattern Matching - Working with event-driven architectures using Apache Kafka (Producers, Consumers, Avro Serialization, Schema Registry) - Building production React SPAs with TypeScript (complex forms, data grids, role-based access control), including Redux Toolkit - MongoDB in production environments (aggregation pipelines, change streams, indexing, sharding, performance tuning) - Expertise in RESTful API Design (OpenAPI 3.0, SpringDoc, versioning) and microservices architecture (Event-Driven, CQRS, Saga Patterns) - Proficiency in testing frameworks including JUnit 5, Spring Boot Test, and Playwright - 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 - Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

- Experience in financial services or reference data domains - Experience in DevOps model and Kubernetes, cloud auto scalable infrastructure