Software Engineer III - Trading Platform Development

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 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

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

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

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

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

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

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

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

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

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

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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.

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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.