Software Engineer III - Full stack - Java, microservice, messaging, AWS, REACT
Posted
JP Morgan Chase Software Engineer III - Full stack - Java, microservice, messaging, AWS, REACT
Description
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 JPM - US Wealth Management Tech, 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
As a Software Engineer III at JPMorganChase within the JPM - US Wealth Management Tech, 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
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- 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.
- 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
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Design, develop, and maintain Java-based backend services and React applications.
- Build and integrate REST APIs and event-driven services. Apply resilient microservice design practices, including service decomposition and inter-service communication.
- Deploy and support applications on AWS. Write and maintain automated tests, participate in code reviews, and help troubleshoot production issues.
- Collaborate with product, design, and engineering partners throughout delivery demonstrating end-to-end ownership.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Experience in full stack/software engineering roles with strong Java, Microservices, Messaging, React, and AWS fundamentals.
- Hands-on Java experience, including Core Java, object-oriented design, collections, and concurrency.
- Experience building and supporting microservices and REST APIs. Deep knowledge of microservice architecture: service decomposition, inter-service communication, resilience patterns
- Experience with messaging or event-streaming technologies such as Kafka or RabbitMQ.
- Proficiency developing React applications using components, hooks, and state management.
- Experience deploying or operating applications on AWS, using relevant services such as EC2, Lambda, S3, ECS/EKS, or API Gateway.
- Understanding of relational or NoSQL databases and secure software development practices.
Preferred qualifications, capabilities, and skills
- Observability practices, including logging, metrics, and distributed tracing; familiarity with tools such as ELK, Prometheus, Grafana, or CloudWatch.
- DevOps practices — Production monitoring, alerting, and reliability practices.
- CI/CD pipelines, containerization (Docker), orchestration (Kubernetes), and infrastructure as code.
- Automated unit, integration, and end-to-end testing; performance testing is a plus.
Skills
- Agile
- AI
- API
- API Gateway
- Automation
- AWS
- CI/CD
- CloudWatch
- Containerization
- DevOps
- Docker
- EC2
- ECS
- EKS
- ELK
- Event Driven Architecture
- Grafana
- Infrastructure as Code
- Java
- Kafka
- Kubernetes
- Lambda
- Microservices
- NoSQL
- Observability
- OOP
- Prometheus
- RabbitMQ
- React
- REST
- S3
- Secure Coding
- Test Automation
- Unit Testing