Lead Real-Time Data Platform Engineer

Next Frontier Capital

Chicago (IL)

Sur place

USD 140 000 - 180 000

Plein temps

14 jours+

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Résumé du poste

JPMorganChase is seeking a Lead Software Engineer in the Corporate Sector's Reference Data Engineering to accelerate secure, scalable data platforms. You will architect, implement, and deliver real-time data products using Java/Spring Boot, AWS, and microservices, while maintaining robust testing and reliability.

The role emphasizes ownership of end-to-end features, performance optimization, and collaboration across teams to advance enterprise data capabilities and AI-assisted practices.

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.

Responsabilités

  • Designs and develops Java/Spring Boot microservices for real-time data product delivery and platform capabilities.
  • Owns assigned features end-to-end: requirements, design, implementation, testing, deployment, and monitoring.
  • Develops secure and high-quality production code and performs code reviews and debugging.

Connaissances

Java
Spring Boot
AWS
Microservices
Kafka
CI/CD
Docker
Kubernetes
GIT/Jira

Formation

Bachelor's degree in Computer Science or related field

Outils

Git/Bitbucket
JIRA
Maven
Terraform
Databricks
Spark

Description du poste

JPMorganChase is seeking a Lead Software Engineer in the Corporate Sector's Reference Data Engineering to accelerate secure, scalable data platforms. You will architect, implement, and deliver real-time data products using Java/Spring Boot, AWS, and microservices, while maintaining robust testing and reliability.

The role emphasizes ownership of end-to-end features, performance optimization, and collaboration across teams to advance enterprise data capabilities and AI-assisted practices.

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