Lead Software Engineer — AI-Driven, Scalable Microservices

JPMorgan Chase; Plano (TX); On-site; USD 170,000 - 210,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer to drive enterprise AI-enabled engineering practices and deliver trusted, scalable market-leading technology solutions. You will architect, implement, and mentor in a fast-paced environment with a focus on secure, low-latency services and ML-enabled fraud/risk capabilities.

You will collaborate with architects, DBAs, and SMEs to design practical solutions, deploy with Kubernetes and microservices architecture, and lead a high-performing

Qualifications

• 5+ years of software engineering experience.
• 10+ years in large-scale distributed systems with Java/J2EE and Spring Boot microservices.
• 3+ years in Linux environments.
• Experience with AI-assisted development tools and validating AI outputs.
• Strong understanding of secure, resilient, and scalable engineering practices.

Responsibilities

• Drive adoption of AI-assisted engineering practices to improve code quality and delivery speed.
• Lead architecture and build of scalable, low-latency services with secure design.
• Mentor the team and manage multiple deliverables across business groups.
• Collaborate with stakeholders to design solutions and resolve issues.
• Develop ML pipelines for fraud detection and risk assessment, and productionize models.

Skills

Java/J2EE

Spring Boot microservices

Linux

AI-assisted software development

REST APIs

Kubernetes

Security & resiliency

NoSQL databases (e.g., Cassandra)

Observability & logging

ML platform / MLOps awareness

Education

Formal training in software engineering concepts

Tools

Kafka

ELK/Splunk

CI/CD tooling

AWS / Hybrid cloud

JIRA / SDLC tools

Job description

JPMorganChase is seeking a Lead Software Engineer to drive enterprise AI-enabled engineering practices and deliver trusted, scalable market-leading technology solutions. You will architect, implement, and mentor in a fast-paced environment with a focus on secure, low-latency services and ML-enabled fraud/risk capabilities.

You will collaborate with architects, DBAs, and SMEs to design practical solutions, deploy with Kubernetes and microservices architecture, and lead a high-performing