Lead Software Engineer- Backend

Overview

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, US PAYMENTS TECHNOLOGY team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

• Executes software solutions, design, development, and technical troubleshooting, with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.
• Produces architecture and design artifacts for complex applications, while being accountable for ensuring design constraints are met during software code development.
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets to support continuous improvement of software applications and systems.
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements in coding hygiene and system architecture.
• Contributes to software engineering communities of practice and events that explore new and emerging technologies.
• Adds to a team culture of diversity, opportunity, inclusion, and respect.

• Formal training or certification in software engineering concepts and 5+ years of applied experience.
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Experience implementing solutions using Java, Spring Boot, SQL, React, design patterns, microservices, Kafka, and cloud-native architecture.
• Experience developing, debugging, and maintaining code in a large corporate environment using one or more modern programming languages and database querying languages.
• Demonstrable ability to code in Java.
• Experience across the entire Software Development Life Cycle.
• Exposure to agile methodologies such as CI/CD, application resiliency, and security.
• Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).

• Exposure to AI, including using Python, AI tools, and Copilot in VS Code/Intelli
  
  J.
• Knowledge of containerization and container runtime/orchestration platforms (Docker, Kubernetes, ECS, etc.).
• Knowledge of messaging systems such as Kafka.
• Knowledge of relational and No
  
  SQL databases.