Java Backend Software Engineer III Kafka / Oracle / AWS

JPMorgan Chase & Co.; Tampa (FL); On-site; USD 110,000 - 140,000; Full time

Job summary

JPMorganChase in Tampa seeks a Software Engineer III to design and deliver robust Java backend services that support high-throughput trading and data workflows across global markets. You will contribute to a distributed engineering team building scalable, cloud-native solutions using AWS, Kafka, and Oracle, ensuring reliability and performance for traders and stakeholders.

Based in Tampa, you will work with a team that values clean architecture, operational excellence, and responsible

Qualifications

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on Java backend development experience with Spring Framework
• Experience in a large corporate environment with Oracle/SQL querying
• Experience with Kafka or equivalent event-driven platforms
• Cloud deployment experience on AWS and cloud-native architectures
• Experience using AI-assisted development tools with validated outputs
• Awareness of secure coding, resiliency, and compliance in engineering workflows
• Exposure to SDLC, Agile methodologies, CI/CD and security practices

Responsibilities

• Design, develop, and maintain Java backend services and APIs using Spring Framework
• Build and optimize event-driven data pipelines with Kafka for real-time streaming
• Develop and maintain Oracle database integrations and SQL querying
• Architect and deploy cloud-native solutions on AWS
• Leverage AI coding assist tools to improve code quality, delivery speed, and productivity
• Engage with SDLC tools and automation to improve development value
• Collaborate with cross-functional teams to translate complex requirements into scalable solutions
• Participate in Agile ceremonies and support CI/CD and deployment practices
• Troubleshoot production issues and apply root-cause analysis
• Analyze large datasets to inform secure, stable application development

Skills

Java

Spring Framework

Kafka

AWS

Oracle/SQL

Tools

Docker

Kubernetes

Oracle

SQL

Job description

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