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

JPMorganChase; Tampa (FL); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Tuition reimbursement

Job summary

JPMorganChase is seeking a Lead Software Engineer in Tampa, USA, to drive full-stack development within the ESP Data & Control Plane team. You will implement secure, scalable software across front-end and back-end layers, collaborating with stakeholders and mentors to promote high-quality engineering practices and AI-enabled workflows.

The role emphasizes enterprise patterns, cloud-native design (AWS), and container orchestration with Docker/Kubernetes, while guiding teams through secure coding

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

API design

Microservices

AI-assisted tools

Tools

AWS

Docker

Kubernetes

Kafka

Job description

JPMorganChase is seeking a Lead Software Engineer in Tampa, USA, to drive full-stack development within the ESP Data & Control Plane team. You will implement secure, scalable software across front-end and back-end layers, collaborating with stakeholders and mentors to promote high-quality engineering practices and AI-enabled workflows.

The role emphasizes enterprise patterns, cloud-native design (AWS), and container orchestration with Docker/Kubernetes, while guiding teams through secure coding