Java Python Software Engineer III

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 120,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Software Engineer III to join the Asset & Wealth Management - AM Operations Oversight Team.

You will design and deliver trusted market-leading technology products in a secure, scalable way, contributing across multiple business functions. You will be responsible for developing production code, applying AI-assisted tools, and ensuring code quality through peer reviews, automated tests, and secure coding standards.

Qualifications

• Formal training or certification in software engineering with 3+ years of applied experience.

Responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine approaches.
• Creates secure and high-quality production code and maintains algorithms that run with appropriate systems.
• Leverages AI coding assist tools to improve code quality, delivery speed, and productivity, with peer review and secure coding standards.
• Applies SDLC tools and automation to improve value realized by automation.
• Produces architecture and design artifacts for complex applications and ensures design constraints are met.

Skills

Java

Python

Databases

Kafka

AWS

AI tools

Secure coding

CI/CD

SDLC

Security

React

Observability

Tools

JDBC

JPA

Hibernate

Kafka

AWS SQS

Spring Boot

Job 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 - AM Operations Oversight 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 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
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficient in coding with Java (Spring Boot, RESTful APIs), and skilled in debugging and maintaining code using modern programming and database querying languages;
• Knowledge of Python.
• Experienced with relational and non-relational databases, including JDBC and JPA (e.g., Hibernate), as well as messaging/eventing technologies such as Kafka and AWS SQS.
• Familiar with AWS services and deploying/operating applications in cloud environments.
• 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 with React JS / Redux or any equivalent Web frameworks.
• Familiarity with CI/CD pipelines and automated testing (e.g., JUnit, Mockito).
• Experience with observability practices (logging/metrics/tracing) and performance troubleshooting.