Lead Software Engineer, Full-Stack & AI-Driven Platforms

JPMorgan Chase & Co.; Tampa (FL); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. in Tampa, FL, is seeking a Lead Software Engineer within the Chief Technology Office for Engineering Services & Platforms (ESP).

You will be a core technical contributor in a fast‑moving agile team, shaping secure, scalable products across business functions and collaborating with stakeholders and junior colleagues. As a full‑stack engineering and design lead in the Data & Control Plane (DCP) team, you’ll drive software lifecycle activities, implement AI‑assisted practices,

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced in one or more programming language(s) – Java & React.
• Frontend expertise in developing UI applications.
• Experience with RESTful API design, data-driven design, microservices architecture, event-driven architecture, and enterprise integration patterns.
• Experience with messaging platforms and stream data processing – Kafka.
• 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.
• Proficient in all aspects of the Software Development Life Cycle.
• Practical cloud native experience (AWS).
• Knowledge of Containerization and Container Runtime/Orchestration platforms (Docker/Kubernetes/ECS etc.)

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems.
• Develops secure and high-quality production code, and reviews and debugs code written by others.
• 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.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes‑oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Skills

Java

React

Frontend UI

RESTful APIs

Microservices

Event-driven

Kafka

AI-assisted coding

SDLC

AWS

Containerization

Docker

Kubernetes

ECS

Tools

Docker

Kubernetes

ECS

AWS

Job description

JPMorgan Chase & Co. in Tampa, FL, is seeking a Lead Software Engineer within the Chief Technology Office for Engineering Services & Platforms (ESP).

You will be a core technical contributor in a fast‑moving agile team, shaping secure, scalable products across business functions and collaborating with stakeholders and junior colleagues. As a full‑stack engineering and design lead in the Data & Control Plane (DCP) team, you’ll drive software lifecycle activities, implement AI‑assisted practices,