Software Engineer III - Asset & Wealth Management Tech - Know Your Client

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

Job summary

JPMorgan Chase's Asset & Wealth Management Technology team is seeking a Software Engineer III to design and deliver trusted market-leading technology in a secure, scalable way. You will work as a seasoned member of an agile team across multiple tech areas to support the firm's objectives.

You will develop production-grade code, build microservices and RESTful APIs, leverage AWS services, and use AI-assisted tooling while ensuring security and reliability.

Qualifications

• 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
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages (Java required).
• Expertise in designing, building, and consuming microservices and RESTful APIs.
• Solid experience with AWS cloud services including EC2, Lambda, S3, API Gateway, DynamoDB and CloudFormation.
• Hands-on experience using enterprise-authorized AI-assisted software development tools with demonstrated ability to critically evaluate outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations and secure handling of inputs/outputs.
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Familiarity with modern front-end technologies
• Exposure to cloud technologies

Responsibilities

• Executes software solutions, design, development, and troubleshooting with ability to think beyond routine approaches
• Creates secure and high-quality production code and maintains algorithms
• Leverages AI coding assist tools to improve code quality, delivery speed, and productivity
• Applies knowledge of SDLC tools and AI-assisted development to improve automation
• Produces architecture and design artifacts for complex applications and ensures constraints are met
• Gathers and analyzes data to develop visualizations and reporting for continuous improvement
• Proactively identifies hidden problems and patterns to drive improvements in coding hygiene and system architecture

Skills

Java

Microservices

REST APIs

AWS

CI/CD

Secure coding

AI-assisted dev

Tools

EC2

Lambda

S3

API Gateway

DynamoDB

CloudFormation

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 Technology organization, 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
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages (Java required).
• Expertise in designing, building, and consuming microservices and RESTful APIs.
• Solid experience with AWS cloud services including but not limited to EC2, Lambda, S3, API Gateway, DynamoDB and CloudFormation.
• 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