Lead Software Engineer - Real-Time Data Platforms

JPMorgan Chase & Co.; Chicago (IL); On-site; USD 130,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. in Chicago seeks a Lead Software Engineer to drive design, development, and delivery of secure, scalable data platforms in a modern data mesh environment across AWS, Databricks, and on‑premises.

You will own features end‑to‑end, mentor engineers, and champion AI‑assisted engineering practices to improve code quality, reliability, and performance of real‑time data pipelines.

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
• Expert-level Java proficiency with Spring Boot/Spring Cloud/Spring Data/Spring Security and AWS services

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting with ability to tackle complex problems
• Develops secure, high‑quality production code and reviews peers' work
• Drives enterprise AI‑assisted engineering practices to improve code quality, speed, and reliability
• Applies SDLC tools and automation to improve value of automation
• Designs and develops Java/Spring Boot microservices for real‑time data delivery
• Owns features end‑to‑end: requirements, design, implementation, testing, deployment, monitoring
• Optimizes performance, scalability, and cost of microservices and data pipelines with thorough testing
• Participates in design/code reviews and remediates technical debt
• Supports production and incident response, and shares knowledge via runbooks/docs

Skills

Java

Spring Boot

AWS

Kafka

Kubernetes

CI/CD

Microservices

Data streaming

SQL/NoSQL

Education

Bachelor's in CS

Formal software training

Tools

Git/Bitbucket

Docker

Terraform

JIRA

Maven

Job description

JPMorgan Chase & Co. in Chicago seeks a Lead Software Engineer to drive design, development, and delivery of secure, scalable data platforms in a modern data mesh environment across AWS, Databricks, and on‑premises.

You will own features end‑to‑end, mentor engineers, and champion AI‑assisted engineering practices to improve code quality, reliability, and performance of real‑time data pipelines.