Lead Software Engineer, Java/AWS/Agentic

JPMorgan Chase

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: OH
Posted: 56 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $202k

$179k most similar roles pay here $230k

This listing doesn't post a salary. Most similar roles pay $192,025–$211,200.

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 · Lead Software Engineer, Java/AWS/Agentic

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Lead Software Engineer - Java/AWS/Agentic serves as a Senior Lead Software Engineer within the Employee Experience team, where you will join an agile team to build 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 develop data pipelines using Databricks and Apache Spark. Your role involves mentoring engineers through code reviews, driving engineering excellence in CI/CD, and governing AI-assisted engineering practices to improve code quality and delivery speed. You will utilize a technical stack including Spring Boot, microservices, SQL, Kafka, and Python for automation or machine learning enablement. The work focuses on solving complex problems across distributed systems, cloud infrastructure, and artificial intelligence while ensuring high performance, observability, and secure software development within the production environment.

Skills

Java Spring Boot Amazon Web Services Databricks Apache Spark Python Kafka SQL Docker Kubernetes Terraform Git Maven Gradle JUnit Microservices Go CloudFormation AWS CDK

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 reliable and cost-aware patterns.
Mentor engineers through code reviews, design guidance, and the establishment of pragmatic engineering standards.
Build and optimize data pipelines using Databricks and Apache Spark for machine learning workflows.
Drive engineering excellence through CI/CD, automated testing, and secure software development practices.
Lead the adoption and governance of AI-assisted engineering practices to improve code quality and delivery speed.
Establish measurable validation standards for AI-generated outputs regarding security, performance, and accuracy.

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 application development on Amazon Web Services (AWS).
Proficiency in automated testing frameworks, continuous integration/delivery, and modern version control practices.
Experience with relational databases, SQL data modeling, and event streaming technologies like 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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