Lead Software Engineer - Full-Stack

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Job summary

As a Lead Software Engineer at JPMorgan Chase within the Infrastructure Platforms team, you will architect, build, and optimize software systems that support core internal services and tools. Your role centers on designing, implementing, and evolving robust platform solutions, collaborating with cross-functional partners to translate user needs and operational bottlenecks into high-quality applications. You will contribute to the technical direction of the team, take responsibility for end-to-end delivery, and help establish engineering standards that advance reliability, efficiency, and maintainability.

Job responsibilities

• Design, develop, and deploy scalable full-stack platform tools for infrastructure teams.
• Enhance reliability and performance of critical internal systems through engineering best practices.
• Collaborate with engineering and operations groups to understand requirements and deliver solutions.
• Integrate new technologies and frameworks into platform services to improve developer productivity.
• Automate workflows and monitoring processes to streamline operations and reduce manual effort.
• Review code, mentor junior engineers, and contribute to team knowledge sharing.
• Participate in planning, testing, and release processes to ensure robust software delivery.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied 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.
• Strong grasp of database systems (SQL and NoSQL), RESTful APIs, and cloud infrastructure concepts.
• Familiarity with CI/CD pipelines, DevOps practices, and automated testing methodologies.
• Demonstrated ability to work cross-functionally on complex projects and deliver high-quality results.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Preferred qualifications, capabilities, and skills

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