We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor you will be responsible for designing and executing test strategies for AI-driven chat solutions. You’ll build and maintain automation frameworks, integrate tests into CI/CD pipelines, and validate AI/ML models for fairness and performance. The role demands strong leadership, adaptability, and deep knowledge of software development, agile methodologies, and financial services technology. Preferred skills include experience with large language models, prompt engineering, accessibility testing, and database technologies
Job responsibilities
- The role will involve quality and test advocacy and the individual will need to have hands on Quality Engineering and test automation experience, as well as strong lead skills.
- Stay current with advancements in AI, test automation, and quality engineering, and proactively introduce innovative tools and practices to the team.
- High level of flexibility and ability to react quickly to changing business needs in a fast-paced environment driven by market pressures.
- The position will be accountable for large projects of high complexity, high risk and high visibility.
- Design, implement, and execute test plans and test cases specifically targeting AI-driven conversational flows, natural language understanding (NLU), and machine learning model outputs.
- Integrate automated tests into CI/CD pipelines to enable rapid, reliable, and repeatable validation of new features and bug fixes.
- Validate AI/ML models, ensuring they meet functional and non-functional requirements, including fairness, bias mitigation, and performance.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years hands on Software Development Life Cycle experience
- Advanced level experience with building and maintaining testing automation frameworks with strong problem solving skills
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in one or more programming language(s), such as Java
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- In-depth knowledge of the financial services industry and their technology infrastructure.
Preferred qualifications, capabilities, and skills
- Working knowledge of Large Language Models and Prompt Engineering
- Experience managing team - Set clear direction, drive performance and contribute to process efficiencies
- Exposure to Accessibility Testing
- Strong experience in Mongo, SQL, Casandra and Oracle preferred
- Experience in developing In-Sprint Test Automation scripts is an added advantage