Develop and lead full-stack features using React, Spring Boot, Java, and data-layer technologies. Build secure, scalable APIs and integrations; establish testing, security, observability, and coding standards; improve CI/CD and cloud deployments; monitor applications, troubleshoot production issues, and reduce operational toil. Collaborate with product, platform, and DevOps teams while mentoring peers. Use enterprise-approved AI coding tools responsibly for development, testing, documentation, and automation.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the Asset & Wealth Management Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Leads design and development of full-stack features (React UI → Spring Boot APIs → data layer).
- Builds scalable, secure backend services using Spring Boot (REST APIs, integrations, performance tuning).
- Establishes and enforce best practices for code quality, testing, security, and observability.
- Drives CI/CD improvements and support deployment activities; troubleshoot production issues and reduce operational toil.
- Deploys and operate applications in cloud environments, including monitoring, logging, and incident response.
- Collaborates with product, platform and DevOps teams; provide technical leadership and mentoring.
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- 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.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Strong backend expertise in Java and Spring Boot (Spring MVC, Spring Data JPA, Spring Security).
- Hands-on frontend expertise in ReactJS
- Strong understanding of REST, HTTP, JSON, API versioning, error handling, and integration patterns.
- Strong experience with SQL databases (PostgreSQL/Oracle/MySQL) and ORM (JPA/Hibernate).
- Testing proficiency:
- Backend: JUnit, Mockito, integration testing
- Frontend: Jest, React Testing Library
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
Preferred qualifications, capabilities, and skills
- Microservices and distributed systems patterns (resiliency, tracing, config, service discovery).
- Messaging/streaming (Kafka/RabbitMQ).
- Observability stack experience (Splunk, Grafana, Dynatrace).
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