✨ AI Summary
We are seeking a Backend Software Engineer III with expertise in JAVA and Springboot to join our agile team at JPMorganChase within the Asset & Wealth Management division. In this role, you will design and deliver market-leading technology products in a secure, stable, and scalable manner. Your responsibilities will include executing software solutions, designing and developing code, troubleshooting technical issues, and creating secure, high-quality production code. You will leverage enterprise-authorized AI coding assist tools to enhance code quality and productivity, and apply knowledge of the Software Development Life Cycle toolchain. You will also produce architecture and design artifacts, gather and analyze data for reporting, and proactively identify problems to drive improvements.
Required qualifications include formal training or certification in software engineering with 3+ years of applied experience, advanced proficiency in Java, and strong technical skills in developing Microservices using JAVA and Spring Boot. Experience with Java, React, Kafka, Oracle, Aurora, Airflow, and Spark, along with deployment to public and private cloud environments, is essential. You should have hands-on practical experience in system design, application development, testing, and operational stability, as well as experience in developing and maintaining code in a large corporate environment. Familiarity with AI-assisted development tools and understanding of responsible AI use are also required. A solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security is expected.
🎁 Benefits & Perks
comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching
Requirements
Requires formal training or certification on software engineering concepts and 3+ years of applied experience. Must be advanced in Java programming and have strong technical skills in developing Microservices using JAVA, Spring Boot. Experience with Java, React, Kafka, Oracle, Aurora, Airflow, and Spark, and deploying to public and private cloud environments is necessary. Practical experience in system design, application development, testing, and operational stability is required, along with experience in developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages. Hands-on experience with enterprise-authorized AI-assisted software development tools and understanding of responsible AI use in engineering workflows are also essential. Solid understanding of agile methodologies like CI/CD, Application Resiliency, and Security is needed.
Description
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 Asset & Wealth Management, 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 experience
- Advanced in Java programming language
- Strong technical skills in developing Microservices using JAVA, Spring Boot
- Experience in building with Java, React, Kafka, Oracle, Aurora, Airflow, and Spark. Deploy to both public and private cloud environments
- 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.
- 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
- Familiarity with modern front-end technologies
- Exposure to cloud technologies