Lead Software Engineer, Java
Quick summary
- Work type
- On-site
- Location
- OH
- Posted
- 1 day ago
- Nearby
- 99+ roles within 25 mi
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 436 open roles on FindRole.
Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.
Most-posted roles
- Software Engineer [Multiple Positions Available] 10
- Data Scientist [Multiple Positions Available] 4
- Lead Site Reliability Engineer 3
- Lead Software Engineer 3
- Lead Software Engineer - Java 3
At a glance
TL;DR · Lead Software Engineer, Java
As a Lead Software Engineer at JPMorganChase in the Corporate Technology team, you will lead an agile group focused on developing and enhancing market-leading technology products while ensuring they are secure, stable, and scalable. Your daily responsibilities include overseeing the design and implementation of complex software solutions, mentoring junior engineers, and collaborating with cross-functional teams to solve business challenges. Experience with Python is highly valued for scripting, automation, and data processing tasks, as well as familiarity with Databricks for contributions to data engineering and analytics pipelines. This role involves working on large-scale systems that support critical financial operations, requiring a deep understanding of software architecture and best practices in cloud-based environments.
Skills
What you'll do
- Lead the design and implementation of secure, scalable software solutions.
- Enhance existing technology products through continuous improvement efforts.
- Build new market-leading technology products from conception to delivery.
- Utilize Python for scripting, automation, and data processing tasks.
- Contribute to data engineering and analytics pipelines using Databricks.
What we're looking for
- Extensive experience in software engineering and product delivery.
- Strong background in Python for scripting, automation, and data processing.
- Proficiency in Databricks for data engineering and analytics pipeline development.
- Expertise in building secure, stable, and scalable technology solutions.
- Experience with agile methodologies and team collaboration.
Related searches