As a Software Engineer III at JPMorganChase within the Asset & Wealth Management Technology organization, 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.

Join a team at the forefront of trading technology innovation. You’ll work in a collaborative environment where your contributions directly support the success of our multi-asset trading platform

Job Responsibilities

• Collaborate with engineers to design, build, and deploy applications aligned with business and functional requirements.

• Contribute to Java-based microservices using streaming, non-blocking, and reactive programming paradigms; write production-quality code.

• Work with Kafka, IBM MQ, Kubernetes (K8s), Redis, Amazon MSK, and AWS services to deliver scalable, efficient systems.

• Support domain-driven design adoption and participate in architectural discussions.

• Contribute to technical documentation and service APIs (Swagger/OpenAPI), ensuring strong logging, auditability, security, and monitoring.

• Participate in API design sessions and help select appropriate design patterns and integration approaches.

• Engage in code reviews; promote TDD/BDD practices to ensure maintainability and quality.

• Assist in demonstrating service scalability and resilience using mock frameworks, performance testing, and related tools.

• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems

• 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 

• Hands-on practical experience in system design, application development, testing, and operational stability

• Hands-on practical experience in core Java across the Software Development Life Cycle, including system design, application development, testing, CI/CD pipelines, and operational support.

• Experience with messaging and streaming technologies such as Kafka, IBM MQ, Rabbit MQ, MSK...

• Working knowledge of SQL and NoSQL databases, and event-driven architectures.

• Experience with caching systems like Redis, GemFire, or Apache Ignite

• 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.

• Experience with distributed systems concepts and building services in patterns such as microservices and RESTful APIs.

• Practical understanding of DevOps toolchains, and agile, test-driven delivery.

• Hands-on exposure to AWS cloud services and ecosystems

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies (React)

• Familiarity with trading systems; exposure to the FIX protocol is a plus.

• Ability to solve complex, mission-critical problems with a pragmatic, hands-on approach.

• Continuous learner and early adopter of emerging technologies and methodologies.