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, Corporate Oversight and Governance Technology team, you are an integral member of an agile team responsible for enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. In this core technical role, you lead the design and implementation of critical technology solutions across multiple technical domains and business functions, ensuring alignment with the firm’s strategic objectives and promoting high-quality outcomes for stakeholders.
Job Responsibilities
- Design, develop, test, and support enterprise applications and services using Java, Spring Boot, and Python.
- Build and maintain RESTful APIs and backend components, integrating with internal platforms and data services.
- Deliver AI/ML-enabled features through the full development life cycle using Agile methodology (from discovery and prototyping to production rollout and monitoring).
- Translate business requirements into software and AI/ML specifications, define milestones, and ensure timely delivery.
- Write secure, high-quality production code (Java/Spring Boot and Python), applying best practices in code quality, testing, and maintainability.
- Design, develop, and troubleshoot AI/ML solutions, applying creative problem-solving to technical challenges.
- Produce architecture and design artifacts for complex applications, including service decomposition, API contracts, and integration patterns.
- Analyze and visualize large, diverse data sets to drive continuous improvement of applications and systems.
- Identify patterns and insights in data to improve coding hygiene, performance, reliability, and system architecture.
- Contribute to software engineering communities of practice and explore new and emerging technologies (backend engineering and AI/ML).
Required Qualifications, Capabilities, and Skills
- Formal training or certification in Software Engineering concepts and 5+ years of applied experience.
- Strong software engineering experience in Java and Spring Boot, including building and supporting production services.
- Proficient in Python, including writing production-grade code and integrating with enterprise systems.
- Strong understanding of data structures, algorithms, and object-oriented design.
- Solid understanding of the Software Development Life Cycle, CI/CD, application resiliency/observability, and security.
- Experience building and consuming RESTful web services, working with JSON, and integrating across distributed systems.
- Hands-on experience developing or integrating AI/ML solutions in production (model integration, orchestration, evaluation, or ML-powered features).
- Familiarity with LLMs, Retrieval-Augmented Generation (RAG), and vector search concepts.
Preferred Qualifications, Capabilities, and Skills
- Experience with relational and/or NoSQL databases for data storage and retrieval in software and AI/ML projects.
- Experience designing and building enterprise-scale, high-volume data processing applications.
- Knowledge of RESTful Web Services and JSON for integrating solutions.
- Agile development experience with SCRUM or similar methodologies.
- Experience with artificial intelligence and machine learning tools and frameworks in development.
- Familiarity with agentic workflows and relevant frameworks (e.g., LangChain, LangGraph, CrewAI, Auto-GPT) is a plus.