Software Engineer III - Full Stack Generative AI/LLM

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 Deposits platform, you will be a seasoned member of an agile team, designing and delivering trusted, market-leading technology products in a secure, stable, and scalable way. You will be responsible for implementing critical technology solutions across multiple technical areas, supporting the firm’s business objectives.

Job Responsibilities

• Contribute to the creation of Non-Functional test suites, focusing on AI automation and performance testing.

• Analyze test results, record test activities, and track defects to ensure high-quality deliverables.

• Clearly articulate and communicate project status to stakeholders and management.

• Manage priorities and set expectations when faced with multiple demanding tasks.

• Work as part of a Scrum team in an Agile development process, participating in all Scrum activities.

• Continuously refine testing processes to improve quality and efficiency.

Required Qualifications, Capabilities, and Skills

• Formal training or certification in software engineering concepts and 4+ years of applied experience.

• Proven experience in execution and analysis of performance test results using JMeter, Blazemeter.

• Advanced proficiency in one or more programming languages (e.g., Java, Python, React JS etc.).

• Hands-on experience with Chaos Monkey Testing.

• Proficiency in observability tools such as Splunk, Dynatrace, Grafana.

• Strong programming skills in Core Java, JUnit, Groovy, Postman, JMeter, REST Assured, API, Eclipse IDE, Maven, Jenkins, IntelliJ and similar tools.

• Demonstrated experience working in an Agile environment on a Scrum team.

• Initiative and creativity in refining testing processes and improving quality.

• Excellent cross-functional communication skills, both formal and informal.

Preferred Qualifications, Capabilities, and Skills

• Experience in creating and executing Performance test scripts.

• Experience working with AI automation frameworks and integrating Large Language Models (LLMs) into software solutions, including prompt engineering, model evaluation, and deployment.

• Familiarity with LLM platforms and tools (such as OpenAI, Hugging Face, or similar).

• Advanced skills in Groovy, Postman, JMeter, Blazemeter, REST Assured, API, Maven, Jenkins.