Software Engineer III - Full Stack Generative AI​/LLM

Overview

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.

• 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.

• 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, Intelli Jand 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.

• 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.
• Understanding of A/B Testing and Engineering principles.
• Exposure to cloud technologies.
• Strong ability to manage own workload and deliver to required deadlines.