Software Engineer III - Performance Testing, JMeter

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 and community banking technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities

• Assist in designing, building, and maintaining automation frameworks for backend APIs (RESTful, GraphQL) and event-driven systems.
• Support the integration of automated tests into CI/CD pipelines for early defect detection.
• Help validate API response times, throughput, and scalability; assist in identifying and resolving performance bottlenecks.
• Participate in resiliency and chaos testing activities for APIs and distributed systems, simulating failures and monitoring system recovery.
• Collaborate with developers and senior engineers to implement shift-left testing practices, including unit and integration tests.
• Support the use of AI/ML-based tools for test case generation and test data creation.
• Assist in building frameworks for security, compliance, and data validation testing of APIs and event-driven streams.

Required Qualifications, Capabilities, and Skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• General experience in backend API test automation
• Basic understanding of API protocols (REST, GraphQL, SOAP) and data formats (JSON, XML).
• Familiarity with CI/CD pipelines and shift-left testing principles.
• Programming experience in Java, Python, or similar languages.

• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications, Capabilities, and Skills

• Exposure to Kafka (Apache Kafka, Confluent) including basic producer/consumer concepts and stream processing.
• Experience with cloud-native APIs, microservices, and event-driven architectures.
• Familiarity with containerization (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP).
• Knowledge of API and Kafka security testing (OWASP, OAuth, JWT, SASL, ACLs).
• Experience with AI/ML tools and models 
• Understanding of monitoring and observability tools for distributed systems.