As a Software Engineer III at JPMorgan Chase within the Asset and 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.
- Works closely with the product team to understand the business requirements and user acceptance testing teams to support during UAT phase.
- 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
- Hands-on practical experience in system design, application development, testing, and operational stability
- Extensive design, coding, testing and debugging skills in Java and Spring Boot framework
- Proficient in coding in in Java 17, Spring Boot, and Databases
- Advanced in two or more technologies Functional Programming, Microservices, RESTful webservices development, JMS, Kafka, GraphQL
- Strong Hands-on Cloud Native Architecture - Azure / AWS, Containerization / Kubernetes
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, 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
- Familiarity with modern front-end technologies
- Understanding or experience with Language Models (LLM).
- Experience with Machine Learning or AI technologies.
- Exposure to cloud technologies
- Exposure to Python programming language
- Independent and self-motivated
- Strong interpersonal and communication skills
As a Software Engineer III at JPMorgan Chase within the Asset and 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.
- Works closely with the product team to understand the business requirements and user acceptance testing teams to support during UAT phase.
- 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
- Hands-on practical experience in system design, application development, testing, and operational stability
- Extensive design, coding, testing and debugging skills in Java and Spring Boot framework
- Proficient in coding in in Java 17, Spring Boot, and Databases
- Advanced in two or more technologies Functional Programming, Microservices, RESTful webservices development, JMS, Kafka, GraphQL
- Strong Hands-on Cloud Native Architecture - Azure / AWS, Containerization / Kubernetes
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, 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
- Familiarity with modern front-end technologies
- Understanding or experience with Language Models (LLM).
- Experience with Machine Learning or AI technologies.
- Exposure to cloud technologies
- Exposure to Python programming language
- Independent and self-motivated
- Strong interpersonal and communication skills
