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).
