Lead Software Engineer - Full Stack/generative Ai/llm

Lead Software Engineer - Python/Java/AWS/Cloud

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

We are seeking a highly skilled and innovative Lead Software Engineer with a strong focus on automation and AI solutioning. The ideal candidate will have deep expertise in designing, developing, and deploying advanced software solutions, with a preference for those who bring performance testing experience. This role will drive the adoption of cutting-edge technologies and automation strategies to enhance operational stability and efficiency across our systems.

Job Responsibilities:

• Design and develop creative software solutions, using innovative approaches to solve complex technical issues.
• Lead the creation and implementation of automation frameworks and AI-driven solutions to enhance business processes.
• Develop strategies for performance testing and automation to improve software quality and delivery speed.
• Establish and promote best practices in performance testing and automation throughout the organization.
• Write secure, high-quality production code and review/debug code from other team members.
• Help create and maintain Non-Functional test suites.
• Analyze test results, document testing activities, and track software defects.
• Identify and automate solutions for recurring issues to improve system stability.
• Communicate project status clearly and manage priorities when handling multiple tasks.
• Collaborate within a Scrum team, participate in Agile activities, and support a culture of diversity, equity, and inclusion.

Required Qualifications, Capabilities, and Skills:

• Formal training or certification in software engineering, with 6+ years of experience.
• Strong system design, application development, and operational stability skills.
• Advanced proficiency in programming languages (Java, Python, C#, etc.)
• Hands-on work with Large Language Models (LLMs) and generative AI.
• Familiarity with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face).
• Experience with distributed systems and cloud platforms (AWS, GCP, Azure).
• Expertise in microservices, RESTful APIs, and database technologies (relational/NoSQL).
• Familiarity with containerization tools (Docker, Kubernetes, Helm).
• Experience with performance testing tools (JMeter, Blazemeter) and Chaos Monkey Testing.
• Skilled in development and testing tools (JUnit, Groovy, Postman, REST Assured, Eclipse, Maven, Jenkins, IntelliJ).
• Effective communication across teams and management, with a proactive approach to process improvement.

Preferred Qualifications, Capabilities, and Skills:

• Cloud certification (AWS, GCP, Azure).
• Practical cloud-native development experience.
• In-depth knowledge of the financial services industry and their IT systems.
• Experience in creating and executing performance and chaos test scripts.
• Experience in or understanding of A/B Testing, Chaos Monkey Testing, Engineering principles.