Senior Software Engineer, AI-Driven Cloud Microservices

Fairygodboss; Plano (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer to advance secure, scalable, cloud-native solutions in a dynamic Agile environment. You will drive enterprise-approved AI-assisted engineering practices, design and build distributed systems, and lead technical mentorship across teams.

The role emphasizes modern architecture, zero-downtime releases, and robust data performance, with substantial experience in backend, frontend, and cloud technologies.

Qualifications

• Formal training or certification in software engineering concepts.
• At least five years of applied software development experience.
• Experience building microservices-based applications using Java Spring Boot and/or Node.js.
• Frontend proficiency with HTML, CSS, JavaScript/TypeScript and React/Angular.
• Experience with cloud platforms (AWS/Azure/GCP).
• Knowledge of REST APIs, microservices, and distributed systems.

Responsibilities

• Execute innovative software solutions and troubleshoot complex problems.
• Deliver end-to-end cloud-native, microservices-based applications.
• Lead AI-assisted engineering practices to improve code quality and delivery speed.
• Apply SDLC tools to improve automation and value delivery.
• Design scalable, secure, and resilient systems with zero-downtime releases.
• Mentor teams and promote best practices across engineering groups.

Skills

Java Spring Boot

Frontend (HTML/CSS/JS/TS)

React/Angular

Cloud (AWS/Azure/GCP)

REST APIs & distributed systems

CI/CD & secure engineering

Agile/Scrum

AI-assisted engineering practices

Problem solving & communication

Education

Software engineering concepts training

Tools

AWS

Azure

GCP

Spring Boot

Job description

JPMorganChase is seeking a Lead Software Engineer to advance secure, scalable, cloud-native solutions in a dynamic Agile environment. You will drive enterprise-approved AI-assisted engineering practices, design and build distributed systems, and lead technical mentorship across teams.

The role emphasizes modern architecture, zero-downtime releases, and robust data performance, with substantial experience in backend, frontend, and cloud technologies.