Full Stack Java Software Engineer III - React / AI / Kubernetes

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III at JPMorganChase within the Global Banking Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out 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, leveraging Java for backend development and React for modern, responsive front-end experiences
• Design and implement event-driven architectures and real-time data streaming solutions using Kafka to support high-throughput, low-latency financial data processing at enterprise scale
• Build, deploy, and manage containerized applications using Kubernetes, ensuring platform reliability, scalability, and operational stability across production environments
• Develop and optimize data models, queries, and stored procedures using Oracle to support complex financial data requirements and reporting needsL
• 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.

• 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

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
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Proficiency in Java for backend development with demonstrated experience building and maintaining scalable, production-grade applications
• Hands-on experience with React for building dynamic, responsive, and user-facing front-end applications
• Demonstrated experience with Oracle database development including data modeling, query optimization, and stored procedure development
• Hands-on experience with Kafka for building event-driven, real-time data streaming solutions in a production environment
• Experience deploying and managing containerized workloads using Kubernetes in a production or enterprise environment
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., 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/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Experience applying structured critical thinking and advanced problem-solving methodologies to diagnose and resolve complex, ambiguous technical challenges in a large enterprise environment
• Familiarity with cloud-based platforms and services, particularly AWS (e.g., S3, Lambda, EC2, or equivalent), to complement containerized and on-premise architectures
• Exposure to infrastructure-as-code tools such as Terraform or Helm for managing Kubernetes deployments and cloud infrastructure
• Experience working within financial services or highly regulated enterprise environments with a strong understanding of data security and compliance requirements
• Knowledge of distributed systems design patterns, microservices architecture, and API development best practices