Software Engineer III (Java)

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 Digital Technology division, 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

• 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

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

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Hands-on practical experience in system design, application development, testing, and operational stability

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Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

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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.

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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.

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Overall knowledge of the Software Development Life Cycle and solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

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Experience building Java microservices/APIs and RESTful services using Spring Boot; utilizing J2EE and JAX-RS to develop secure enterprise REST applications

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Experience building distributed systems using the Command Query Responsibility Segregation (CQRS) design pattern

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Experience processing big data using Spark and processing real-time events using Kafka; creating API contracts using Swagger and event contracts using AVRO; designing JSON and XML notations for producer/consumer data exchange

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Experience using Servlets and JDBC to build server applications that retrieve data from Oracle and Cassandra databases

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Experience with engineering productivity and operations tooling, including Maven, IntelliJ, GIT/BitBucket, unit testing with Junit and Mockito, logging with Log4j, troubleshooting via Splunk (and observability tools such as Dynatrace), plus scripting/automation for CI/CD pipelines (e.g., Jenkins, Docker, Terraform) and production health monitoring/reporting (e.g., Tableau)

Preferred qualifications, capabilities, and skills

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Familiarity with modern front-end technologies

• Exposure to cloud technologies