Java Software Engineer III

Job Description Join us to shape the future of payments technology and regulatory reporting. You will have the opportunity to work with cutting-edge cloud platforms and data engineering tools, making a real impact on our business and your career growth. We value your expertise and encourage you to bring your ideas to a team that thrives on innovation and collaboration. At JPMorganChase, you will be part of a culture that supports diversity, inclusion, and continuous learning. Take the next step in your journey with us and help deliver trusted technology solutions. As a Software Engineer III at JPMorganChase within the Payments Technology Regulatory Reporting team, you will design, build, and operate secure, scalable Java services using Spring Boot to support mission-critical regulatory reporting and payments-adjacent workflows. You will work in an agile environment, contribute to architecture and engineering standards, and help improve reliability, performance, and developer productivity. This role offers you the opportunity to drive meaningful impact across a high-visibility, cross-functional technology organization. Job Responsibilities Execute end-to-end software delivery including design, development, testing, deployment, and production troubleshooting for Java/Spring Boot services and supporting componentsBuild and maintain secure, scalable backend services and APIs with a strong focus on performance, resiliency, and long-term maintainabilityCreate design artifacts for complex workflows, covering processing logic, dependency management, failure handling, service-level objectives, and resiliency patternsApply distributed systems best practices including idempotency, retries, timeouts, back-pressure, and graceful degradationCollaborate with product, quality assurance, site reliability engineering, and partner engineering teams to deliver high-quality, production-ready solutionsImprove engineering standards through code reviews, test strategy, continuous integration and delivery improvements, observability, and operational readinessContribute to internal libraries and engineering communities; evaluate and adopt emerging technologies where appropriate to drive team productivityLeverage enterprise-authorized AI-assisted software development tools to improve code quality, delivery speed, and productivity, while validating outputs through peer review, automated testing, and secure coding standardsApply 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 Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and applied experienceStrong hands-on experience in Java backend development and Spring Boot in production environmentsProven ability in system design for scalable, secure services using microservices and API-driven architecturesStrong engineering fundamentals including object-oriented programming, design patterns, concurrency, debugging, and performance tuningSolid testing discipline encompassing unit and integration testing, automation, and code quality practicesExperience with relational databases and SQL, including understanding of data modeling and transactional conceptsFamiliarity with agile delivery and the ability to develop within enterprise controls and standardsWorking knowledge of continuous integration and delivery, application resiliency, security best practices, and observability and monitoringHands-on experience using enterprise-authorized AI-assisted software development tools with demonstrated ability to critically evaluate and validate AI-generated outputsUnderstanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations Preferred Qualifications, Capabilities, And Skills Experience supporting data processing and integration work using Python and/or PySpark, such as batch jobs, reconciliation pipelines, or platform integrationsExperience with data engineering and orchestration tooling such as Databricks and Airflow or similar platformsExposure to cloud services such as managed streaming for Apache Kafka, compute, container orchestration, object storage, managed databases, and serverless functionsExperience with streaming and event-driven systems, particularly in payments or financial services contextsFamiliarity with payment regulatory reporting requirements and associated data workflows ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.