Senior Real-Time Data Platform Engineer

JPMorganChase

Chicago (IL)

On-site

USD 140,000 - 190,000

Full time

36 hours ago
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Job summary

JPMorganChase in Chicago seeks a Lead Software Engineer to design and deliver real-time data products in a secure, scalable way. You will own features end-to-end, build microservices with Java/Spring Boot, and drive AI-assisted engineering practices across AWS and on-premises data platforms.

The role emphasizes high-performance data pipelines, real-time streaming, and collaboration within an agile team to partner on data-driven capabilities enterprise-wide.

Qualifications

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

Responsibilities

  • Executes creative software solutions, design, development, and troubleshooting
  • Develops secure production code and reviews code written by others
  • Drives AI-assisted engineering practices to improve quality and delivery
  • Implements SDLC tools and automation to enhance value
  • Owns features end-to-end from requirements to monitoring
  • Contributes to team knowledge sharing and documentation

Skills

Java
Spring Boot
AWS
Kafka
Microservices
CI/CD
Git/Bitbucket
REST APIs
Distributed systems
Security (JWT/OAuth2)

Education

Formal software engineering training

Tools

JIRA
Maven
Docker
Kubernetes
Terraform
Snowflake/Databricks
Spark Structured Streaming
Kafka

Job description

JPMorganChase in Chicago seeks a Lead Software Engineer to design and deliver real-time data products in a secure, scalable way. You will own features end-to-end, build microservices with Java/Spring Boot, and drive AI-assisted engineering practices across AWS and on-premises data platforms.

The role emphasizes high-performance data pipelines, real-time streaming, and collaboration within an agile team to partner on data-driven capabilities enterprise-wide.

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