Senior Lead Software Engineer, Java/AWS/Agentic

JPMorgan Chase

Confirmed live 2 days ago Low trust

Quick summary

Work type
On-site
Location
Columbus, OH
Posted
37 days ago
Freshness
Confirmed live 2 days ago

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How this pay compares to similar roles

Similar $196k
$139k most similar roles pay here $245k

This listing doesn't post a salary. Most similar roles pay $167,696–$223,750.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Senior Lead Software Engineer, Java/AWS/Agentic

As a Senior Lead Software Engineer within the Employee Experience team, you will join an agile group focused on building and delivering secure, stable, and scalable technology products. You will lead the end-to-end design of Java services and APIs, architect cloud-native solutions on Amazon Web Services, and build data pipelines using Databricks and Apache Spark. Your role involves mentoring engineers through code reviews, driving engineering excellence in CI/CD and automated testing, and governing AI-assisted engineering practices to improve delivery speed and quality. You will work with Java, Spring Boot, Spring Cloud, Python, Go, and SQL while utilizing tools like Kafka, Maven, Gradle, and Git. The role addresses complex problems across distributed systems and cloud environments, specifically focusing on integrating agentic workflows and responsible AI practices into the software development life cycle to automate key workflows.

What you'll do

  • Design and deliver scalable Java services and APIs optimized for performance, resiliency, and maintainability.
  • Architect and implement cloud-native solutions on Amazon Web Services using well-structured patterns.
  • Mentor engineers through code reviews, design guidance, and the establishment of engineering standards.
  • Build and optimize data pipelines using Databricks and Apache Spark for analytics and machine learning.
  • Drive engineering excellence through CI/CD, automated testing, and secure software development practices.
  • Lead the adoption and governance of approved AI-assisted engineering practices across teams.
  • Establish measurable validation standards for AI-generated code to ensure security and performance.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Advanced Java experience, including building Spring Boot-based services in a microservices architecture.
  • Experience with cloud-native applications on Amazon Web Services (AWS) using compute, storage, database, container, and serverless services.
  • Proficiency in automated testing frameworks like JUnit and modern CI/CD practices using Git, Maven, or Gradle.
  • Experience with relational databases, SQL data modeling, and messaging systems such as Kafka.
  • Demonstrated experience leading the use of enterprise-authorized AI-assisted software development tools and ensuring responsible AI usage.
  • Advanced Python experience for automation, data engineering, or machine learning enablement (preferred).
  • Experience with infrastructure as code, containerization (Docker/Kubernetes), CockroachDB, and Go (preferred).

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