Manager of Software Engineering - Data Engineering

JPMorgan Chase JPMorgan Chase · Banking · New York, NY +1 · Consumer & Community Banking

Manager of Software Engineering for Data Engineering at JPMorgan Chase, focusing on leading engineering teams, managing implementation activities, and ensuring adherence to compliance standards within the Consumer and Community Banking's Trust and Security Technology team. Requires experience in data-intensive applications, ETL pipelines using AWS, Java, and Spark, and leading technology projects.

What you'd actually do

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

Skills

Required

  • Formal training or certification on Software Engineering concepts
  • 5+ years applied experience in Software Engineering
  • 2+ years of experience leading technologists
  • Experience leading technology projects
  • Proficiency developing Data intensive applications or ETL pipelines using AWS, Java and spark
  • Experience with Apache Spark, Spark's core concepts, including RDDs, Data Frames, and Spark SQL
  • Experience managing technologists
  • Proficient in automation and continuous delivery methods
  • Proficient in all aspects of the Software Development Life Cycle - OOP principles and design patterns
  • 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
  • Experience with AWS cloud services (EC2,S3, Lambda) and deploying and managing applications in a cloud environment
  • Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines

Nice to have

  • Experience working at code level - ability to write clean, maintainable, and efficient code in Java
  • Spring Ecosystem, including Spring Boot, Spring MVC and Spring Data

What the JD emphasized

  • adheres to compliance standards
  • compliance standards
  • Apache Spark