Lead Software Engineer Full Stack

JPMorgan Chase JPMorgan Chase · Banking · Wilmington, DE +1 · Corporate Sector

Lead Software Engineer focused on full-stack development, including integrating AI/ML models into enterprise applications within the fintech domain. The role involves designing, developing, and troubleshooting software solutions, with a strong emphasis on microservices, cloud technologies, and CI/CD practices. While the role requires hands-on experience with AI/ML models and frameworks, its primary output is the shipped product (L6), not the AI models themselves.

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. Creating user interfaces and interactive features for web applications using languages and frameworks like HTML, CSS, and ReactJS.
  3. Develops secure high-quality production code, and reviews and debugs code written by others
  4. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  5. 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

Skills

Required

  • software engineering concepts
  • system design
  • application development
  • testing
  • operational stability
  • Micro services
  • Java
  • Spring Boot
  • Python
  • cloud technologies
  • distributed systems
  • RESTful APIs
  • web technologies
  • Automation Testing framework
  • Cucumber
  • Playright
  • Karma
  • Load Testing framework
  • Blazemeter
  • enterprise-scale, high-volume data processing applications
  • SQL
  • NoSQL databases
  • MongoDB
  • PostGreSQL
  • Restful Web Services
  • WebSockets/JSON
  • Agile Development
  • SCRUM
  • full – stack: front-end languages
  • HTML
  • CSS
  • ReactJS
  • AngularJS
  • back-end languages
  • Java
  • Spring
  • Python
  • automation
  • continuous delivery (CI/CD)
  • Software Development Life Cycle
  • AI/ML models
  • Open AI GPT
  • Anthropic Claude
  • Gemini
  • PyTorch
  • Scikit-learn

Nice to have

  • managing projects end-to-end
  • AWS Developer or Solution Architect Certification
  • financial services industry and their IT systems
  • React Context API
  • Axios for API integration
  • Jest
  • Cypress
  • Typescript
  • Webpack
  • React query
  • HTML/CSS
  • artificial intelligence and machine learning tools and framework in development
  • Observability and production management tools
  • Splunk
  • Dynatrace
  • Grafana

What the JD emphasized

  • Hands on development experience with AI/ML models
  • apply techniques to real-world problems
  • Experience with artificial intelligence and machine learning tools and framework in development

Other signals

  • Hands on development experience with AI/ML models
  • apply techniques to real-world problems
  • Experience with artificial intelligence and machine learning tools and framework in development