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 Corporate Technology, 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 are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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 10+ 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), Generative AI and Agentic AI.

• Familiarity with AI/ML frameworks (Tensor Flow, Py Torch, scikit-learn, Hugging Face).

• Experience with distributed systems and cloud platforms (AWS, Databricks, Snowflake).

• 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 Gremlin 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, Gremlin Testing, Engineering principles.