Software Engineer III - Java/AWS/Kafka

JPMorgan Chase & Co.Tampa, FloridaOn-siteFull-timeMid level, 2–5 yearsListed 16 minutes ago

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About this role

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. Join a team where your contributions directly support the integrity of global financial transactions, and where innovation, collaboration, and growth are part of everyday work.

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 — work that matters not just to the firm, but to the broader global financial community.

Job responsibilities

- Execute software solutions across design, development, and technical troubleshooting, thinking beyond conventional approaches to break down complex problems and build scalable outcomes

- Design and implement high-throughput, low-latency Java microservices using Spring Boot, with a focus on performance, resiliency, and maintainability supporting sanctions screening and Trust & Safety workflows

- Build and maintain robust Java-based integrations (Java, J2EE, Spring Boot, PL/SQL) aligned with enterprise architecture standards and patterns

- Drive microservices and event-driven messaging designs to support scalability, resiliency, and controlled processing of screening outcomes

- Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems

- 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

- Produce architecture and design artifacts for complex applications, ensuring design constraints are met throughout software code development

- Gather, analyze, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

- Proactively identify hidden problems and patterns in data, using insights to drive improvements to coding hygiene and system architecture

- Contribute to software engineering communities of practice and events that explore new and emerging technologies

- Support application operational stability, including participation in on-call and production support rotations, and drive issue remediation through root-cause analysis and problem management

Required qualifications, capabilities, and skills

- Formal training or certification on software engineering concepts and 3+ years applied experience

- Hands-on experience with Java, and strong working knowledge of Java/J2EE, Spring Boot, and SQL/PL/SQL in production environments

- Solid 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 demonstrated 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 considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations

- Overall knowledge of the Software Development Life Cycle

Preferred qualifications, capabilities, and skills

- 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