Software Engineer III - Java/Spring Boot/Kafka

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As an Software Engineer III at JPMorgan Chase within the Consumer and Community Banking technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job Responsibilities
Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Contributes to software engineering communities of practice and events that explore new and emerging technologies
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
Proficient in coding in Java
Experience with Spring boot
Experience with Kubernetes
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.
Familiarity with modern front-end technologies
Exposure to cloud technologies (e.g. AWS, ECS, S3)
Preferred qualifications, capabilities, and skills
Programming with NoSQL/NPL a plus (Cassandra)
Familiar with big data technologies - Spark, Scala, HDFS
Familiar with modern infrastructure technology and architecture (cloud, virtualization, object stores, etc.)
Familiar with Kafka