Java Backend Software Engineer 3

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 Commodities Technology team of the Commercial & Investment Bank, you will design and deliver robust Java backend services that support high-throughput trading and data workflows across global markets. Based in Tampa, you will contribute to a distributed engineering team building scalable, cloud-native solutions leveraging AWS, Kafka, and Oracle — ensuring the reliability and performance of systems that traders and business stakeholders depend on daily. You will bring hands-on backend engineering depth and a collaborative mindset to a team that values clean architecture, operational excellence, and responsible innovation. This is an opportunity to deepen your technical expertise while making a measurable impact on systems that operate at the intersection of technology and global finance.
 

Job responsibilities

• Design, develop, and maintain Java backend services and APIs using Spring Framework, ensuring high availability, performance, and security across commodities trading workflows
• Build and optimize event-driven data pipelines using Apache Kafka to support real-time data streaming and messaging between distributed systems
• Develop and maintain Oracle database integrations, writing efficient SQL for data querying, modeling, and operational support
• Architect and deploy cloud-native solutions on AWS, applying best practices for scalability, resiliency, and cost efficiency
• Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity — including code generation, refactoring, unit test creation, and documentation — while validating outputs through peer review, automated testing, and secure coding standards
• Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized through automation
• Collaborate with cross-functional teams including front-office technology, data engineering, and business stakeholders to translate complex requirements into scalable, maintainable solutions
• Participate in Agile ceremonies and contribute to sprint-based delivery cycles, supporting continuous integration and deployment practices
• Troubleshoot and resolve production issues across multi-layered distributed systems, applying root cause analysis to improve system resilience and prevent recurrence
• Gather, analyze, and draw conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development

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 using Java and Spring Framework
• Experience developing, debugging, and maintaining code in a large corporate environment with demonstrated proficiency in Java backend development and Oracle/SQL database querying
• Hands-on experience with Apache Kafka or equivalent event-driven messaging platforms in a distributed systems environment
• Experience designing and deploying applications on AWS or equivalent cloud platforms, with an understanding of cloud-native architecture principles
• Hands-on experience using enterprise-authorized AI-assisted software development tools — such as for coding, testing, troubleshooting, or documentation — with demonstrated ability to critically evaluate and validate AI-generated outputs
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations
• Experience across the full Software Development Life Cycle, including exposure to Agile methodologies and practices such as continuous integration and delivery, application resiliency, and security

Preferred qualifications, capabilities, and skills

• Familiarity with containerization and orchestration technologies such as Docker and Kubernetes in a cloud-native deployment model