You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorgan Chase within the Employee Platforms team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team you will be responsible for overseeing Databricks adoption and supporting internal teams as they integrate with Databricks. As a Software Engineer, you will collaborate with colleagues across the organization to deliver secure, scalable, and reliable technology solutions that drive business success.

Job responsibilities

 

Design, develop, and troubleshoot software solutions, focusing on Databricks integration and adoptionBuild and maintain data pipelines using Databricks, ensuring efficient and reliable data processing for internal teamsWrite secure, high-quality production code in Python and participate in code reviews and debuggingImplement and support CI/CD pipelines to automate software delivery and improve operational stabilityCollaborate with internal teams to provide guidance and best practices for Databricks usageParticipate in team discussions and activities to share knowledge and drive continuous improvement

 

 

Required qualifications, capabilities, and skills

 

Formal training or certification on software engineering concepts and 2+ years applied experience     Exhibit proficiency in Python programmingBuild and maintain data pipelines using DatabricksApply practical experience with CI/CD tools and automation methodsDemonstrate familiarity with agile development practices, application resiliency, and securityHands-on practical experience in system design, application development, testing, and operational stabilityEmerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

 

 

Preferred qualifications, capabilities, and skills

 

Leverage experience with AWS services such as S3, EMR, Glue, ECS/EKS, and AthenaAttain certifications in AWS, Databricks, or automation toolsApply exposure to open table formats (Iceberg, Delta Lake) and data catalog tools (AWS Glue Data Catalog)Demonstrate interest in cloud computing, artificial intelligence, or mobile development