✨ AI Summary
As a Software Engineer III at JPMorgan Chase within the Asset and Wealth Management Technology team, you will 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 will be responsible for carrying out critical technology solutions across multiple technical areas in support of the firm’s business objectives.
Key responsibilities include executing software solutions, design, development, and technical troubleshooting; creating secure and high-quality production code; leveraging enterprise-authorized AI coding assist tools; producing architecture and design artifacts; and gathering, analyzing, and synthesizing data to drive improvements. The role requires a formal training or certification in software engineering concepts and 3+ years of applied experience, with proficiency in Java, Spring boot, and AWS services like ECS, S3, RDS, and Cassandra. Experience with system design, application development, testing, operational stability, and AI-assisted development tools is also essential, along with an understanding of the Software Development Life Cycle and agile methodologies.
Requirements
Requires formal training or certification on software engineering concepts and 3+ years of applied experience. Must have proficiency in Java, Spring boot, and AWS, including experience with AWS services (ECS, S3, RDS) & Cassandra. Practical experience in system design, application development, testing, and operational stability is needed, along with hands-on experience using enterprise-authorized AI-assisted software development tools. Understanding of the Software Development Life Cycle and agile methodologies such as CI/CD, Application Resiliency, and Security is also required.
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 and Wealth Management Technology 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
- Proficiency in Java, Spring boot and AWS
- Experience with AWS services (ECS, S3, RDS) & Cassandra.
- Hands-on practical experience in system design, application development, testing, and operational stability
- 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
- Microservices and distributed systems patterns (resiliency, tracing, config, service discovery).
- Messaging/streaming (Kafka/RabbitMQ).
- Observability stack experience (Splunk, Grafana, Dynatrace).