Lead Software Engineer - Java Backend Lead +aws

JPMorgan Chase JPMorgan Chase · Banking · Plano, TX +1 · Consumer & Community Banking

Lead Software Engineer role focused on driving the adoption and effective use of AI-assisted engineering practices within a Java backend development team at JPMorgan Chase. The role involves coaching developers on using AI tools for code quality, delivery speed, and operational improvements, while ensuring responsible and secure AI implementation.

What you'd actually do

  1. Lead a team of developers, providing coaching, code reviews, and career development to grow team capability and delivery outcomes
  2. 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
  3. Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  4. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  5. Develops secure high-quality production code, and reviews and debugs code written by others

Skills

Required

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
  • Advanced in one or more programming language(s) : J2EE , Core Java including Java 17 with annotation, enum, collections, streaming, multithreading, concurrency, regular expressions, functions .
  • Experience with spring including In-depth knowledge of Spring Framework for building SOAP/RESTful Web Services, MVC, and Spring Boot.
  • Strong AWS experience, architecting, deploying, and operating cloud-native services (e.g., IAM, VPC, EC2, EKS, SQS, S3, RDS, ALB/NLB, Secrets Manager, ElastiCache)
  • Experience with build and Integration Tools, including knowledge of JIRA, Maven, Git, Jenkins, GitHub and BitBucket is required.
  • Development using Agile methodology.
  • Web Security including OAUTH2/ADFS, Kerberos, Cross Site Scripting and HTTP injection.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Proficiency in automation and continuous delivery methods
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Nice to have

  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience

What the JD emphasized

  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices