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.
Required qualifications, capabilities, and skills
- 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.
Preferred qualifications, capabilities, and skills
- 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.
