Lead Software Engineer

JPMorgan Chase JPMorgan Chase · Banking · Columbus, OH +1 · Consumer & Community Banking

Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking - Auto Line of Business (CCB-Auto LOB). Responsible for architecting and implementing critical technology solutions across multiple technical domains within various business functions, directly supporting the firm's strategic business objectives.

What you'd actually do

  1. Execute creative software solutions through design, development, and technical troubleshooting, demonstrating the ability to think beyond conventional approaches to architect innovative solutions and resolve complex technical challenges
  2. Develop secure, high-quality production code while conducting thorough code reviews and debugging activities for code written by team members
  3. Proactively identify opportunities to eliminate or automate the remediation of recurring issues, thereby improving the overall operational stability and reliability of software applications and systems
  4. Lead technical evaluation sessions with external vendors, startups, and internal teams to conduct outcomes-oriented assessments of architectural designs, technical credentials, and applicability for integration within existing systems and information architecture
  5. Lead and foster communities of practice across Software Engineering to promote awareness, adoption, and best practices for emerging and leading-edge technologies

Skills

Required

  • architecting, building, and supporting scalable, multi-tenant distributed applications
  • large-scale technology transformation initiatives utilizing microservices architecture
  • AWS deployment
  • AWS Lambda
  • Docker
  • Kubernetes
  • Design Patterns
  • Core Java
  • J2EE Frameworks
  • Spring Boot
  • JPA
  • RESTful APIs
  • Web Services
  • Oracle or PostgreSQL databases
  • NoSQL databases
  • MongoDB
  • Elasticsearch
  • Cassandra
  • Neo4j
  • Apache Kafka or TIBCO MQ

Nice to have

  • Artificial Intelligence/Machine Learning (AI/ML)
  • Data Warehousing technologies
  • Angular
  • React
  • Banking and Financial Services industry