Lead Software Engineer (backend)

JPMorgan Chase JPMorgan Chase · Banking · Dublin, Ireland · Corporate Sector

Lead Software Engineer (Backend) for the Employee Platforms team at JPMorgan Chase, focusing on enhancing, building, and delivering technology products. Responsibilities include software solutions, design, development, troubleshooting, writing and reviewing production code, automating issue remediation, evaluating external vendors and internal teams, and leading communities of practice. Requires hands-on experience in system design, application development, testing, operational stability, proficiency in programming languages, automation, CI/CD, agile methodologies, software development lifecycle, cloud-native experience, and knowledge of financial services IT systems. Experience in areas like cloud, AI, or ML is mentioned as a technical discipline.

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

  • system design
  • application development
  • testing
  • operational stability
  • programming language(s)
  • automation
  • continuous delivery methods
  • Software Development Life Cycle
  • agile methodologies
  • CI/CD
  • Application Resiliency
  • Security
  • cloud
  • artificial intelligence
  • machine learning
  • mobile
  • financial services industry
  • IT systems
  • cloud native experience

What the JD emphasized

  • core technical contributor
  • critical technology solutions
  • software applications and systems
  • artificial intelligence, machine learning