About the role
structured by ORIDesign and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team 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 JPMorgan Chase within the Corporate Sector , you…
What you will do
- 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 tes
- 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
What they are looking for
- Formal training or certification on software engineering concepts and 3+ years applied
- Professional software development experience, with a strong emphasis on Java and microservice architectures .
- Demonstrated experience designing and delivering RESTful APIs and distributed, service-oriented systems.
- 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, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, perform
- 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.
- Proficiency with Spring Boot , CI/CD pipelines, and automated testing frameworks.
- Solid experience with PostgreSQL , including data modeling, query optimization, and performance tuning.
Nice to have
- Experience with event-driven architecture, message queues (e.g., Kafka, Amazon SQS), or API gateway technologies.
- Familiarity with infrastructure-as-code (e.g., Terraform, CloudFormation) and observability tooling.
- A track record of mentoring engineers or contributing to open-source or professional engineering communities.
Full posting text
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team
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 JPMorgan Chase within the Corporate Sector , 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 Formal training or certification on software engineering concepts and 3+ years applied Professional software development experience, with a strong emphasis on Java and microservice architectures . Demonstrated experience designing and delivering RESTful APIs and distributed, service-oriented systems. 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, 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. Proficiency with Spring Boot , CI/CD pipelines, and automated testing frameworks. Solid experience with PostgreSQL , including data modeling, query optimization, and performance tuning. Preferred qualifications, capabilities, and skills Experience with event-driven architecture, message queues (e.g., Kafka, Amazon SQS), or API gateway technologies. Familiarity with infrastructure-as-code (e.g., Terraform, CloudFormation) and observability tooling. A track record of mentoring engineers or contributing to open-source or professional engineering communities.