Software Engineer III – Trading Technology

About the role

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 Trading Technology, 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.

Key responsibilities

• Work alongside a team of technologists to develop and deploy applications that meet business and functional requirements.
• Contribute to the design and implementation of microservices in Java, applying streaming, non‑blocking, and reactive programming techniques under senior guidance.
• Use technologies such as Kafka, IBM MQ, Kubernetes, Redis cache, MSK, and AWS to build and maintain scalable services.
• Support the team’s adoption of domain‑driven design principles and participate in architectural discussions.
• Assist in producing technical documentation, including service APIs using Swagger, and implement logging, auditability, security, and monitoring features.
• Take part in API design sessions and evaluate design patterns proposed by the team.
• Write test cases using TDD/BDD approaches and engage in code review sessions as reviewer and reviewee.
• Validate the scalability of services using mock testing frameworks and other tools.
• Leverage enterprise‑authorized AI coding assist tools to improve code quality, delivery speed, and productivity while validating outputs through peer review and automated testing.
• Apply knowledge of tools within the Software Development Life Cycle toolchain, including AI‑assisted development and automation capabilities.

Required profile

• Bachelor’s degree in Computer Science or a related field, or equivalent experience.
• Working knowledge of Java programming with a self‑assessed proficiency of 5 out of 10 or higher and willingness to engage in hands‑on coding.
• Formal training and certification on software engineering and 3+ years of applied experience.
• Exposure to distributed architecture systems involving large data volumes or real‑time distribution.
• Familiarity with CI/CD, DevOps tool chains, and a test‑driven approach to agile delivery.
• Understanding of modern architectures based on microservices, REST APIs, databases, SQL, non‑SQL stores, and event‑based architecture.
• Hands‑on experience using enterprise‑authorized AI‑assisted software development tools with ability to evaluate and validate AI‑generated outputs.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations and security expectations.

Required skills

• Java
• Kafka
• IBM MQ
• Kubernetes
• Redis
• AWS
• Swagger
• TDD/BDD
• CI/CD pipelines
• Microservices architecture