
Software Engineer III (Full Stack)
Alumni · Jersey City, NJ, United States
Hiring signal
Actively hiring
Still listed on the employer's own board · publishes a salary range · How we score
All reasons
- The same description appears on 5 of this employer's postings
In its favour
- Still listed on the employer's own board
- Publishes a salary range
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
Skills
- TypeScript
- Java
- Spring Boot
- Spring Cloud
- AWS
- ECS
- EKS
- AWS Lambda
- EC2
- JMeter
- JavaScript
- S3
- Kafka
- Python
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