Senior Lead Software Engineer - AI-Driven Microservices

JPMorgan Chase & Co.; Houston (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. in Houston is seeking a Senior Lead Software Engineer within Capital Markets to design, build, and deliver scalable, secure technology platforms used by thousands of users globally.

You will drive the development of a next-gen execution platform, mentor engineers, and implement AI-assisted coding practices to ensure performance, reliability, and security across distributed microservices built with Java, Spring Boot, Docker/Kubernetes, and cloud services.

Qualifications

• Formal training or certification in software engineering concepts.
• Proven experience delivering system design, application development, testing, and operational stability.
• Experience leading the use of AI-assisted software development tools and setting team expectations for validating AI outputs.
• Strong understanding of responsible AI use in engineering workflows, data sensitivity, and secure handling of inputs/outputs.

Responsibilities

• Provides technical guidance and direction to support business and teams.
• Designs, builds, and maintains Java code and services.
• Develops secure production code and reviews code written by others.
• Drives adoption of AI-assisted engineering practices across teams with measurable validation standards.
• Builds and evolves distributed, event-driven microservices with Spring Boot.

Skills

Core Java

Spring Boot

Distributed systems

AI-assisted tools

Code review

Education

Formal training or certification in software engineering concepts

Tools

Docker

Kubernetes

AWS

Oracle

Postgres

Kafka

Solace

Redis

Hazelcast

Elasticsearch

React

Job description

JPMorgan Chase & Co. in Houston is seeking a Senior Lead Software Engineer within Capital Markets to design, build, and deliver scalable, secure technology platforms used by thousands of users globally.

You will drive the development of a next-gen execution platform, mentor engineers, and implement AI-assisted coding practices to ensure performance, reliability, and security across distributed microservices built with Java, Spring Boot, Docker/Kubernetes, and cloud services.