Software Engineer III - Java AWS

We have an exciting and rewarding prospect 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 provide trusted market-leading technology products in a secure, stable, and scalable way. You are in charge of carrying out critical technology solutions spanning multiple technical areas within several business functions in support of the firm’s business objectives. 

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with aptitude to think beyond routine or conventional approaches to create 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 enhance code quality, delivery speed, and productivity over multi-layered 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 enhance broader team effectiveness.
• Applies know-how of tools within the Software Development Life Cycle toolchain, among them enterprise-authorized AI-assisted development and automation capabilities, to enhance the value realized by automation.
• Produces architecture and design artifacts for involved 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 findings to drive improvements to coding hygiene and system architecture

 

 

Required qualifications, capabilities, and competencies

• 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 track record 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 capacity to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, covering data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; capability to guide peers on safe and effective usage within team practices.
• Overall understanding of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

 

Preferred qualifications, capabilities, and competencies

• Microservices and distributed systems patterns (resiliency, tracing, config, service discovery).
• Messaging/streaming (Kafka/RabbitMQ).
• Observability stack experience (Splunk, Grafana, Dynatrace).