JPMorgan Chase
From JPMorgan Chase's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
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.
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.
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
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