Software Engineer III – Cloud Quality Engineering – Java​/AWS

Software Engineer III – Cloud Quality Engineering – Java / AWS

Join to apply for the Software Engineer III – Cloud Quality Engineering – Java / AWS role at JPMorgan Chase.

$/yr – $/yr

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.

• 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, Blaze Meter, or similar tools.
• Analyze test results, identify bottlenecks, and drive improvements.
• Partner with development and Dev Ops teams to integrate automation into CI/CD workflows.
• Mentor junior engineers and contribute to best practices in quality engineering.

• 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, Blaze Meter), UI/mobile automation frameworks (Selenium, Appium), database/ETL/batch automation, CI/CD tools (Jenkins, Git).
• Excellent communication and teamwork abilities.

• Exposure to AWS Bedrock, Sage Maker, 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 (Cloud Watch, ELK stack).
• Understanding of cloud security best practices.
• Strong programming skills in Java (Spring Boot preferred).

JPMorgan Chase is an equal opportunity employer, committed to diversity and inclusion. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

Not Applicable

Full-time

Engineering and Information Technology

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