Kafka

JPMorganChase•Tampa, FL

About The Position

As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank — Payments, Trust & Safety (Sanctions Screening) organization, you will serve as a seasoned member of an agile team, designing and delivering trusted, market-leading technology in a secure, stable, and scalable way. You will carry out critical technology solutions across multiple technical areas in support of the firm's business objectives, supporting the integrity of global financial transactions. The role involves designing and implementing high-throughput, low-latency Java microservices and robust Java-based integrations for sanctions screening and Trust & Safety workflows. You will contribute to microservices and event-driven messaging designs, produce architecture and design artifacts, and build secure, high-quality production code. You will also use enterprise-authorized AI coding assistance tools, validating generated outputs through peer review, automated testing, and secure coding standards. You will analyze and visualize large, diverse data sets to improve applications and systems, identify problems and patterns, and contribute to software engineering communities of practice. The position also supports operational stability through on-call and production support rotations, issue remediation, root-cause analysis, and problem management.

Requirements

Formal training or certification in software engineering concepts and at least 3 years of applied experience.
Hands-on production experience with Java and strong working knowledge of Java/J2EE, Spring Boot, and SQL/PL/SQL.
Understanding of agile methodologies, including CI/CD, application resiliency, and security practices such as automated testing, static analysis, and vulnerability remediation.
Practical experience with modern runtime and platform tooling such as Apache Tomcat, Jenkins, Sonar/SAST tooling, Selenium/BlazeMeter, Redis, UNIX, Helm charts, Kubernetes, AWS concepts, and Kafka or equivalent streaming platforms.
Hands-on experience in system design, application development, testing, and operational stability, including support and troubleshooting in distributed systems.
Experience developing, debugging, and maintaining code in a large-scale environment using one or more modern programming languages and database querying languages.
Hands-on experience using enterprise-authorized AI-assisted software development tools for coding, test creation, troubleshooting, or documentation, with the ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations.
Overall knowledge of the Software Development Life Cycle.

Nice To Haves

Familiarity with modern front-end technologies and JavaScript frameworks.
Exposure to cloud technologies and cloud-native architectures, including containers, Kubernetes, and service-to-service communication patterns.
Banking or financial services domain knowledge; familiarity with Sanctions Screening and/or PEGA PRPC is a plus.
Experience working directly with compliance, risk, or sanctions teams.

Responsibilities

Execute software solutions across design, development, and technical troubleshooting, breaking down complex problems and building scalable outcomes.
Design and implement high-throughput, low-latency Java microservices using Spring Boot, focusing on performance, resiliency, and maintainability for sanctions screening and Trust & Safety workflows.
Build and maintain Java-based integrations using Java, J2EE, Spring Boot, and PL/SQL in alignment with enterprise architecture standards and patterns.
Drive microservices and event-driven messaging designs that support scalability, resiliency, and controlled processing of screening outcomes.
Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
Use enterprise-authorized AI coding assistance tools for code generation, refactoring, unit tests, and documentation; validate outputs through peer review, automated testing, and secure coding standards.
Produce architecture and design artifacts for complex applications and ensure design constraints are met during software development.
Gather, analyze, and develop visualizations and reporting from large, diverse data sets to support continuous improvement of software applications and systems.
Identify hidden problems and patterns in data and use insights to improve coding hygiene and system architecture.
Contribute to software engineering communities of practice and events exploring emerging technologies.
Support application operational stability, including on-call and production support rotations, and drive issue remediation through root-cause analysis and problem management.