Lead Software Engineer - Big Data & Aws

JPMorgan Chase JPMorgan Chase · Banking · Plano, TX +1 · Commercial & Investment Bank

Lead Software Engineer focused on Big Data and AWS services for data workflow automation and analysis within a commercial and investment banking context. The role involves creating and executing software solutions, troubleshooting, and identifying opportunities for automation. Experience with Apache Spark, various AWS services, and data platforms like Redshift and Databricks is required. While AI/ML is mentioned as a potential area for optimization, it is not the core focus of the role.

What you'd actually do

  1. Creates and executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  2. Develops secure high-quality production code, and reviews and debugs code written by others
  3. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  4. Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  5. Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Skills

Required

  • software engineering concepts
  • system design
  • application development
  • testing
  • operational stability
  • programming language(s)
  • Apache Spark
  • Redshift
  • SQL DB
  • RDS
  • Databricks
  • AWS services
  • S3
  • Step Functions
  • EMR
  • Glue
  • Lambda
  • API Gateway
  • Iceberg tables
  • APIs
  • agile methodologies
  • CI/CD
  • Application Resiliency
  • Security
  • cloud
  • artificial intelligence
  • machine learning
  • mobile

Nice to have

  • AI-driven automation opportunities within technology lifecycle management
  • AI and emerging technologies