Lead Real-Time Data Platform Engineer

JPMorgan Chase; Chicago (IL); On-site; USD 140,000 - 200,000; Full time

Job summary

JPMorganChase within the Corporate Sector's Reference Data Engineering seeks a Lead Software Engineer to advance real-time data products and scalable platforms. You will architect Java/Spring Boot microservices for real-time data delivery, own features end-to-end, and collaborate in an agile team delivering secure, high-quality solutions across AWS, Databricks, and on-premises.

The role emphasizes AI-assisted engineering practices, performance optimization, and robust data pipelines, with

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Expert-level Java proficiency with Spring ecosystem and AWS in public cloud.
• Hands-on experience delivering system design, application development, testing, and operational stability.

Responsibilities

• Executes creative software solutions, design, development, and debugging with ability to tackle complex problems.
• Develops secure, high-quality production code and reviews peers' code.
• Owns features end-to-end: requirements, design, implementation, testing, deployment, and monitoring.

Skills

Java proficiency

Spring Boot

AWS

Microservices

Kafka/Kinesis/Spark

CI/CD

REST APIs

Distributed systems

Git/Bitbucket

AI-assisted practices

Education

Formal software engineering training

Tools

Docker

Kubernetes

Terraform

Snowflake/Databricks

MongoDB

SQL

Job description

JPMorganChase within the Corporate Sector's Reference Data Engineering seeks a Lead Software Engineer to advance real-time data products and scalable platforms. You will architect Java/Spring Boot microservices for real-time data delivery, own features end-to-end, and collaborate in an agile team delivering secure, high-quality solutions across AWS, Databricks, and on-premises.

The role emphasizes AI-assisted engineering practices, performance optimization, and robust data pipelines, with