Lead Software Engineer - Java, Aws, AI

JPMorgan Chase JPMorgan Chase · Banking · OH · Consumer & Community Banking

Lead Software Engineer with a focus on Java, AWS, and AI within the AMLKYC Product team at JPMorgan Chase. The role involves enhancing, building, and delivering technology products, conducting critical technology solutions, and leading platformization initiatives using AI and automation. Requires strong software engineering experience, cloud development, and knowledge of the financial services industry.

What you'd actually do

  1. Executes creative 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
  • Java
  • Spring & Spring Boot
  • API development
  • AWS
  • public cloud
  • APIs
  • Kafka
  • Cassandra/NoSQL
  • AI solutions and Automation
  • system design
  • application development
  • testing
  • operational stability
  • Software Development Life Cycle
  • agile methodologies
  • CI/CD
  • Application Resiliency
  • Security
  • financial services industry IT systems

Nice to have

  • design thinking
  • full stack development

What the JD emphasized

  • 5+ years applied experience
  • 8+ years of professional experience in software engineering
  • 8+ years experience: Java, Spring & Spring Boot and API development
  • Experience using AI solutions and Automation to improve efficiency and drive innovation.
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • In-depth knowledge of the financial services industry and their IT systems