Lead Java Backend Engineer - AI-Driven, Cloud-Native

JPMorgan Chase

Plano (TX)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

Chase is seeking a Lead Software Engineer in our Consumer & Community Banking - Digital Utilities division. You will join an agile team responsible for building trusted, scalable technology products across multiple business functions.

You will lead design, development, and operational stability, delivering secure software and driving modernization efforts. The role emphasizes AI-assisted development, code review, test acceleration, and incident analysis, with a focus on secure handling of data

Qualifications

  • Formal training or certification in software engineering concepts with eight or more years of applied experience.
  • Hands-on practical experience delivering system design and operational stability.
  • Proficiency in automation and continuous delivery methods.
  • Demonstrated proficiency in cloud-native technologies with AWS and Kubernetes.

Responsibilities

  • Execute creative software solutions and troubleshoot complex problems.
  • Develop secure, high-quality production code and review others' code.
  • Lead evaluation sessions with vendors and internal teams on architecture and tech viability.
  • Lead communities of practice to promote new technologies and practices.
  • Drive adoption of AI-assisted engineering practices to improve quality and speed.

Skills

Java
Spring
AWS
Kubernetes
Kafka
Cassandra
Oracle
Spark
Jenkins
Dynatrace
Splunk
Grafana
Cloud Foundry

Tools

Spinnaker

Job description

Chase is seeking a Lead Software Engineer in our Consumer & Community Banking - Digital Utilities division. You will join an agile team responsible for building trusted, scalable technology products across multiple business functions.

You will lead design, development, and operational stability, delivering secure software and driving modernization efforts. The role emphasizes AI-assisted development, code review, test acceleration, and incident analysis, with a focus on secure handling of data

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