What are the responsibilities and job description for the Software Engineer III - Machine Learning & Operations position at JPMorgan Chase?
Join a dynamic team at the forefront of Machine Learning and Intelligence Operations, where your expertise will drive the next generation of banking technology. As part of our Virtual Agent Assist development team, you will help revolutionize the call center agent experience through real-time assistance, workflow automation, and intelligent decision support. Utilizing Java, Spring, and modern UI technologies, our platform seamlessly integrates advanced machine learning and artificial intelligence to deliver faster, more personalized, and highly efficient customer service.
As a Software Engineer at JPMorgan Chase within the Machine Learning and Intelligence Operations Virtual Agent Assist team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology product in a secure, stable, and scalable way. As a core technical contributor, you are responsible for developing critical technology solutions across multiple technical areas in support of the firm’s business objectives.
Job responsibilities
Executes creative software solutions through full-stack design, development, and technical troubleshooting, leveraging Java (Spring Boot, REST APIs) and front-end technologies (React, Angular) to solve complex problems and innovate beyond conventional approaches.
Develops secure, high-quality production code in Java and JavaScript/TypeScript, and reviews and debugs code written by others to ensure robust, maintainable applications across backend and frontend layers.
Identifies opportunities to eliminate or automate remediation of recurring issues using Java-based automation tools and front-end monitoring solutions, improving overall operational stability of software applications and systems.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 3 years of building full stack web applications
Advanced proficiency in programming languages, specifically Java and React.
Expertise in infrastructure provisioning with Terraform and hands-on experience building and deploying CI/CD pipelines.
Proven track record in developing enterprise applications with high availability and performance using Spring, ORM frameworks, Kafka and Redis distributed caching solutions.
Practical experience with UI frameworks such as React. Knowledge in Micro Front End architecture would be nice to have.
Strong skills in SQL and database development.
Knowledge in writing unit/integration/automated test cases using Junit, Cucumber, Selenium and Playwright
Experience building large-scale enterprise applications, including cloud-native solutions based on the 12-factor methodology, extending beyond simple REST endpoint exposure.
Hands-on experience in system design, application development, testing, and ensuring operational stability
Preferred qualifications, capabilities, and skills
Proficient in developing applications with Spring Boot and Java technologies.
Proficient in building single-page web applications using ReactJS and micro-frontend architecture.
Strong AWS expertise, including hands-on use of ECS, Kafka, S3, DynamoDB, RDS, and ElastiCache
Experienced in conducting code reviews, and resolving technical issues.
Knowledgeable in Python, Generative AI and Agentic AI technologies would be a nice to have skill.