Software Engineering Manager

Manager of Software Engineering - AWS, Java, Big Data

This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions.

As a Manager of Software Engineering at JPMorganChase within the Corporate Technology, you lead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team’s work adheres to compliance standards, business requirements, and tactical best practices.

Job responsibilities

 

• Provides guidance to immediate team of software engineers on daily tasks and activities
• Sets the overall guidance and expectations for team output, practices, and collaboration
• Anticipates dependencies with other teams to deliver products and applications in line with business requirements
• Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements
• Creates a culture of diversity, opportunity, inclusion, and respect for the team members and prioritizes diverse representation

 

 

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience would be required.
• Hands on experience on Data Engineering Tech Stack - Spark, Kafka with Java and proficient in related AWS services.
• Experience leading technology projects
• 3+ years of experience managing technologists
• Proficient in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience. 

Preferred qualifications, capabilities, and skills

 

• Experience working at code level
• Exposure to Databricks, Python
• Exposure to LLMs, GenAI 
• Strong preference for AWS

Experience Level

Mid Level