Senior Lead Software Engineer: Cloud, AI & Java

JPMorgan Chase & Co.

Columbus (OH)

On-site

USD 140,000 - 210,000

Full time

14 days+
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Job summary

JPMorganChase & Co. is seeking a Senior Lead Software Engineer to drive end-to-end design and delivery of scalable Java services and APIs. You will architect cloud-native solutions on AWS, mentor engineers, and collaborate with cross-functional partners to advance analytics and ML workflows.

The role emphasizes secure, reliable production systems, implementable CI/CD, and responsible AI usage within engineering practices. Location is Columbus, OH, with an agile, outcome-driven environment.

Qualifications

  • Formal training or certification in software engineering concepts and 5+ years applied experience.

Responsibilities

  • Lead end-to-end design and delivery of scalable Java services and APIs, optimizing for performance, resiliency, and maintainability.
  • Architect and implement cloud-native solutions on AWS with reliability and observability patterns.
  • Mentor engineers through code reviews and engineering standards to raise quality and delivery speed.
  • Collaborate with product, design, and data partners to define technical strategies that improve user experience.
  • Build and optimize data pipelines using Databricks and Apache Spark for analytics and ML workflows.
  • Drive CI/CD, automated testing, and secure software development practices across teams.
  • Promote AI-assisted development practices with validated quality, security, and reuse of patterns.

Skills

Advanced Java
Spring Boot
Microservices
CI/CD
Automated testing
SQL
Performance tuning
Mentoring

Education

Formal training or certification in software engineering

Tools

AWS
Databricks
Apache Spark
Kafka
Git
Maven/Gradle
Terraform / CloudFormation
Docker / Kubernetes

Job description

JPMorganChase & Co. is seeking a Senior Lead Software Engineer to drive end-to-end design and delivery of scalable Java services and APIs. You will architect cloud-native solutions on AWS, mentor engineers, and collaborate with cross-functional partners to advance analytics and ML workflows.

The role emphasizes secure, reliable production systems, implementable CI/CD, and responsible AI usage within engineering practices. Location is Columbus, OH, with an agile, outcome-driven environment.

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