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 JPMorgan Chase 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 break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems 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 Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect

 

 

Required qualifications, capabilities, and skills

 

Formal training or certification on software engineering concepts and 3+ years applied experience  Extensive Design, coding, testing and debugging skills in Java and REACT JS Framework Proficient in coding in Java 17, Spring Boot, and Databases  Advanced in two or more technologies – Functional Programming, Microservices, RESTful webservices development, JMS, Kafka, GraphQL Cloud – Strong Hands-on Cloud Native Architecture - Azure / AWS, Containerization / Kubernetes Solid understanding of agile methodologies, CI/CD, Non-Functional requirements like Resiliency, performance and Security. Strong skills around object-oriented analysis and design (OOAD), data structures, algorithms, design patterns Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

 

 

Preferred qualifications, capabilities, and skills

 

Understanding or experience with Language Models (LLM). Experience with Machine Learning or AI technologies. Exposure to cloud technologies Exposure to Python programming language