Quality Assurance - Test Automation Engineer III

Join a team where your automation and engineering rigor directly improve production stability and release confidence. Grow your impact by partnering across engineering, product, and operations to raise the quality bar.

Job summary

As a Software Engineer III – Test Automation Engineer at JP Morgan Chase within Corporate technology, you design, build, and run robust automated test solutions for REST API and Spring Boot services. You strengthen release confidence by improving testability, automation coverage, performance validation, and quality signals in CI/CD. You work closely with engineering, product, and operations to drive resiliency and production stability.

Job responsibilities

- Design and maintain automated API tests for REST services (Spring Boot), covering functional, regression, and integration scenarios
- Build and evolve maintainable automation frameworks using tools such as Karate, JUnit, and TestNG (or similar)
- Implement shift-left testing practices aligned with TDD and improve service testability through engineering partnership
- Validate end-to-end outcomes through database testing using advanced SQL (joins, aggregations, window functions, and subqueries)
- Execute and automate performance and load testing (e.g., JMeter, Gatling, or Locust), analyze results, and recommend fixes
- Integrate automation into CI/CD pipelines (e.g., Jenkins, Spinnaker), including quality gates, reporting, and failure triage
- Partner with platform and runtime teams to validate deployments and test execution in Kubernetes and cloud environments

Required qualifications, capabilities, and skills

- Strong experience with REST API automation for Spring Boot services
- Hands-on experience building and maintaining test automation frameworks (e.g., Karate, JUnit, TestNG, or similar)
- Strong SQL skills for database validation, including joins, aggregations, window functions, and subqueries
- Experience integrating automated testing into CI/CD pipelines, including execution, reporting, and troubleshooting failures
- Experience working in Kubernetes-based, containerized environments
- Proficiency in at least one modern programming language (Java, Python, or JavaScript)
- Hands-on experience across system design, application development, testing, and operational stability

Preferred qualifications, capabilities, and skills

- Experience with Java for service-side testing and integrations, including REST and/or gRPC with Spring Boot
- Knowledge of agile engineering practices, including resiliency, security, CI/CD, and quality engineering patterns
- Understanding of the Software Development Life Cycle (SDLC) and release governance
- Experience with performance engineering and quality insights, such as workload modeling, bottleneck analysis, latency profiling, data analysis, reporting, and AI-enabled productivity approaches