Mid-Level
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 Business Access & Tools division, 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
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.
Design, develop, and maintain backend services, agentic workflows using TypeScript and APIs using Java, and Spring Boot
Implement micro-services architecture leveraging Spring Cloud for service discovery, configuration, and resilience
Containerize and deploy applications on AWS using services such as ECS, EKS, Lambda, or EC2.
Implement and maintain AWS infrastructure using Infrastructure as Code (IaC)
Implements reactive programming paradigms for high-performance systems
Apply 12-factor app principles and best practices for cloud-native development
Design and execute performance and load tests using JMeter or Blazemeter
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
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 3+ years applied experience
Backend experience Java 21, SpringBoot, Spring Cloud
Front end experience with Typescript, JavaScript
Implement micro-services architecture leveraging Spring Cloud for service discovery, configuration, and resilience
Implement and maintain AWS infrastructure using Infrastructure as Code (IaC), Lambda. S3, Kafka
Hands-on practical experience in system design, application development, testing, and operational stability
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
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
Agent2UI, A2A protocol
Troubleshoot, debug, and resolve issues in multi-agent environments
Python
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