Senior Java & AWS Architect — Scalable Cloud Services

JPMorgan Chase & Co.

Columbus (OH)

On-site

USD 140,000 - 190,000

Full time

14 days+
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Job summary

JPMorganChase in Columbus, OH seeks a Senior Lead Software Engineer to drive end-to-end design of scalable Java services and APIs. You will architect cloud-native solutions on AWS, mentor engineers, and partner with product/design/data teams to optimize user experiences and automate key workflows.

Responsibilities include building data pipelines with Databricks and Spark, advancing CI/CD and secure coding practices, and guiding AI-assisted development across teams to improve code quality and

Qualifications

  • 5+ years of applied software engineering experience.
  • Advanced Java experience, including Spring Boot in a microservices context.
  • Proven ability delivering scalable, cloud-native solutions on AWS.
  • Experience with data pipelines and analytics technologies (Databricks, Spark).
  • Strong emphasis on testing, CI/CD, and secure coding practices.

Responsibilities

  • Lead end-to-end design and delivery of scalable Java services and APIs.
  • Architect and implement cloud-native AWS solutions with cost-aware scalability.
  • Mentor engineers through code reviews and design guidance.
  • Collaborate with product/design/data partners on technical strategy.
  • Build data pipelines using Databricks and Spark for analytics.
  • Drive CI/CD, automated testing, and secure software development practices.
  • Promote AI-assisted development tools and establish validation standards.

Skills

Java
Spring Boot
Microservices
AWS Cloud
CI/CD
Automated testing
SQL
Data pipelines
Databricks
Apache Spark
AI-assisted tooling
Security practices

Tools

Git
Maven/Gradle
CI/CD pipelines
JUnit

Job description

JPMorganChase in Columbus, OH seeks a Senior Lead Software Engineer to drive end-to-end design of scalable Java services and APIs. You will architect cloud-native solutions on AWS, mentor engineers, and partner with product/design/data teams to optimize user experiences and automate key workflows.

Responsibilities include building data pipelines with Databricks and Spark, advancing CI/CD and secure coding practices, and guiding AI-assisted development across teams to improve code quality and

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