Lead Software Engineer

JPMorgan Chase

Confirmed live today Low trust

Quick summary

Work type
On-site
Location
OH
Employment
Full-time
Posted
83 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $177k
$129k $246k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $144,362–$208,800.

Based on 240 similar postings.

Employer

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 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Lead Software Engineer

JOB TITLE: Lead Software Engineer As a Senior Lead Software Engineer within the Consumer & Community Banking – Deposits 2.0 team, you will join an agile team focused on delivering secure, stable, and scalable technology products. You will lead the end-to-end design and delivery of scalable Java services and APIs, architecting cloud-native solutions on Amazon Web Services. Your daily responsibilities include mentoring engineers, building data pipelines using Databricks and Apache Spark, and driving engineering excellence through continuous integration and automated testing. You will utilize Java, Spring Boot, SQL, and Kafka while managing AI-assisted engineering practices. The role involves solving complex problems across distributed systems, cloud, and artificial intelligence to improve user experience and automate workflows while ensuring high-throughput performance and operational stability within a production environment.

What you'll do

  • Lead the end-to-end design and delivery of scalable Java services and APIs for production environments.
  • 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 large-scale analytics and machine learning.
  • Drive engineering excellence through continuous integration, automated testing, and secure software development practices.
  • Govern the adoption of AI-assisted engineering practices to improve code quality and delivery speed.
  • Define technical strategies with product and data partners to automate workflows and improve user experience.

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.
  • Hands-on experience building cloud-native applications on Amazon Web Services.
  • Experience with continuous integration, delivery, and modern build/version control practices like Git, Maven, or Gradle.
  • Proficiency with automated testing frameworks like JUnit and mocking frameworks.
  • Experience with relational databases, SQL, and messaging patterns like Kafka.
  • Demonstrated experience leading the use of enterprise-authorized AI-assisted software development tools.
  • Advanced Python experience for automation, data engineering, or machine learning enablement (preferred).

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