Lead Software Engineer, AI-Driven Cloud Solutions

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

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer to join a fast-paced agile team. You will help design, build, and secure market-leading technology products with cloud-native microservices.

You will contribute as a core technical member, mentor teams, and drive adoption of enterprise AI-assisted engineering practices to improve quality and speed. Strong Java 17, Spring Boot, Python, and frontend skills are essential.

Qualifications

• Formal training or certification in software engineering with 5+ years of hands-on experience.
• Strong Java 17 and Spring Boot experience including REST APIs and Spring Security.
• Strong Python development experience, preferably with FastAPI and asynchronous processing.
• Front-end development experience with React, TypeScript, JavaScript, Node.js, HTML/CSS, and responsive apps.
• Experience designing secure REST integrations using JSON, XML, OAuth2, SAML, TLS/mTLS, and cert-based auth.
• Experience with relational databases, especially MS SQL Server.

Responsibilities

• Execute creative software solutions and troubleshoot complex problems.
• Deliver end-to-end cloud-native microservices-based applications.
• Use domain modeling to build scalable business products.
• Develop secure production code and review others' code.
• Identify opportunities to automate recurring remediation for stability.
• Lead communities of practice to promote new technologies.

Skills

Java 17 & Spring Boot

Python (FastAPI)

React/TypeScript/JS

REST APIs & OAuth2/SAML

CI/CD & Git tooling

Security & secure coding

AI-assisted development practices

MS SQL Server

Cloud platforms (AWS/GCP/Azure)

Tools

Jenkins

Git

Bitbucket

Maven

Job description

JPMorgan Chase & Co. is seeking a Lead Software Engineer to join a fast-paced agile team. You will help design, build, and secure market-leading technology products with cloud-native microservices.

You will contribute as a core technical member, mentor teams, and drive adoption of enterprise AI-assisted engineering practices to improve quality and speed. Strong Java 17, Spring Boot, Python, and frontend skills are essential.