Software Engineer III – Cloud Quality Engineering – Java / AWS

JPMorgan Chase & Co.•New York, NY

39d

About The Position

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Software Engineer III at JPMorgan Chase as a part of the Cloud Quality Engineering team, you will design, develop, and implement automated testing frameworks and tools for cloud-based applications, ensuring the quality and reliability of our technology solutions

Requirements

Formal training or certification in Software Engineering concepts and 3+ years applied experience with a focus on automation and quality.
Hands-on experience with AWS cloud services.
Experience in Python programming
Expertise in REST API automation and service virtualization (Wiremock, Hoverfly, Lisa).
Experience with one or more of the following: Kafka messaging systems, performance testing tools (JMeter, BlazeMeter), UI/mobile automation frameworks (Selenium, Appium), database/ETL/batch automation, CI/CD tools (Jenkins, Git).
Excellent communication and teamwork abilities.
Strong programming skills in Java (Spring Boot preferred).

Nice To Haves

Exposure to AWS Bedrock, Sagemaker, and LLM model workflows.
Familiarity with agentic workflows (Langgraph, Langchain) and MCP servers.
Experience with Docker, Kubernetes, or other containerization technologies.
Knowledge of cloud monitoring/logging (CloudWatch, ELK stack).
Understanding of cloud security best practices.

Responsibilities

Build and maintain automated test frameworks using Java and Spring Boot for cloud-native applications.
Develop REST API test automation and service virtualization (Wiremock, Hoverfly, Lisa).
Implement UI and mobile automation for web and mobile platforms.
Automate database, ETL, and batch testing processes.
Integrate AWS services (EC2, S3, Lambda, etc.) into automation pipelines.
Work with Kafka messaging for distributed system testing.
Develop and execute performance tests using JMeter, BlazeMeter, or similar tools.
Analyze test results, identify bottlenecks, and drive improvements.
Partner with development and DevOps teams to integrate automation into CI/CD workflows.
Mentor junior engineers and contribute to best practices in quality engineering.