Backend Java Software Engineer III

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

As a Backend Java Software Engineer III at JPMorgan Chase within the Commercial and Investment Bank - Digital Enablement Team, 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 break down technical problems 
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• 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.
• Designs and implements RESTful APIs and microservices architecture to support scalable backend systems
• 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 
• Optimizes application performance through code profiling, database query optimization, and caching strategies
• Collaborates with cross-functional teams including front-end engineers, product managers, and business stakeholders to deliver end-to-end solutions

• Contributes to software engineering communities of practice and events that explore new and emerging technologies 

   

   

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 
• Proficient in coding in one or more languages such as Java, Go, Python, or Node.js, with demonstrated experience using AI coding assistants such as GitHub Copilot or similar tools to enhance productivity 
• 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, 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.
• Strong experience with relational databases (SQL) and NoSQL databases, including query optimization and data modeling
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security 
• Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud Platform) including cloud-native application development and deployment
• Demonstrated knowledge of AI/ML concepts and practical experience integrating machine learning models into production applications 
• Experience with version control systems (Git) and collaborative development workflows

• Strong problem-solving skills and ability to work effectively in a fast-paced, collaborative environment

   

   

   

Preferred qualifications, capabilities, and skills

• Experience with AI agent development and agentic frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI
• Knowledge of containerization technologies (Docker, Kubernetes) and orchestration
• Familiarity with message queuing systems (Kafka, RabbitMQ) and event-driven architectures
• Experience with monitoring and observability tools (Splunk, Grafana, Prometheus)
• Understanding of security best practices including authentication, authorization, and data encryption
• Experience with performance testing and load testing frameworks

• Exposure to distributed systems design and microservices patterns

  FEDERAL DEPOSIT INSURANCE ACT:

  This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries.