Software Engineer II - Java / Spring / AWS

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorgan Chase within the Corporate & Investment Bank Real-Time Payments organization, you will be a hands-on engineer promoting the RTP product through the full software development lifecycle—from design and development through testing, production readiness, and rollout. You will deliver high-quality features and services, actively participate in architecture and code reviews, and uphold robust standards for automation, resiliency, and operational excellence in a mission-critical real-time payments environment. Job responsibilities Executes standard software solution, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications 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 Applies technical troubleshooting to breakdown solutions and solve technical problems of basic complexity Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems Required qualifications, capabilities, and skills Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or related disciplines 2+ years of formal experience or certification on software engineering concepts Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., 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/outputs, and adherence to resiliency and security expectations Experience across the whole Software Development Life Cycle Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security Preferred qualifications, capabilities, and skills Hands-on development experience with Java and Spring Boot/Spring Core, including building REST APIs and integrating with downstream systems Working knowledge of React (or strong willingness to contribute to UI components as needed) and test automation using JUnit Familiarity with event-driven concepts and tooling (e.g., MQ and/or Kafka) and distributed system fundamentals (retries, timeouts, idempotency) Exposure to caching technologies (e.g., Redis and/or GemFire) and performance-minded development practices Working experience with Agile delivery and tooling: Jira for execution tracking and Confluence for documentation Basic cloud/platform exposure and willingness to learn: AWS, Kubernetes, Terraform (hands-on experience preferred but not required depending on team needs) Strong engineering fundamentals: clean code, code reviews, debugging, and clear written communication Experience in payments or regulated financial services, especially high-availability and low-latency systems Experience operating production services (incident response, post-incident reviews, observability, runbooks) Familiarity with secure SDLC practices, including vulnerability remediation and dependency hygiene Exposure to AI/LLM-enabled development workflows (used responsibly) for productivity improvements (e.g., code assistance, test generation, documentation drafts)