Software Engineer II - Full-Stack

Responsibilities

• Design, develop, and deploy scalable full-stack platform tools for infrastructure teams.
• Architect and optimize software systems that support core internal services and tools.
• Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity.
• Enhance the reliability and performance of critical internal systems through engineering best practices.
• Collaborate with engineering and operations groups to translate user needs into high-quality applications.
• Automate workflows and monitoring processes to streamline operations and reduce manual effort.
• Review code, mentor junior engineers, and contribute to team knowledge sharing.

Requirements

• 2+ years of applied software engineering experience.
• Professional experience building full-stack applications for infrastructure or platform teams.
• Proficiency in modern programming languages such as JavaScript/TypeScript, Python, Java, or Go.
• Experience developing and deploying microservices and web applications using popular frameworks.
• Hands-on experience using AI-assisted software development tools and the ability to validate AI-generated output.
• Strong understanding of SQL and NoSQL database systems, RESTful APIs, and cloud infrastructure.
• Familiarity with CI/CD pipelines, DevOps practices, and automated testing methodologies.

Preferred Qualifications

• Experience with container orchestration tools like Kubernetes or Docker in production environments.
• Knowledge of observability, monitoring, and logging solutions for large-scale systems.
• Background in security compliance or distributed infrastructure design.
• Active participation in developer communities or contributions to open source projects.

About the Company

JPMorgan Chase & Co. is a leading global financial services firm. You will be part of the Infrastructure Platforms team, developing the tools and platforms that drive the core of our engineering ecosystem, focusing on scalability and operational efficiency.