Software Engineer III QA Automation Java

Job 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 JPMorgan Chase within the Consumer & Community Banking, you will be a seasoned member of an agile team, tasked with designing and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. Your responsibilities include implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm’s business objectives.

Job 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.
  
  

• Formal training or certification on software engineering concepts and 3+ years applied experience with a focus on automation and quality.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Strong programming skills in Java and Spring Boot framework.
• Hands-on experience with AWS cloud services.
• 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.
  
  

• Python programming experience.
• 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) and understanding of cloud security best practices.