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Lead Software Engineer -Full stack, Java, AI, and React

JPMorgan Chase
Chicago, USA
Full-time
Lead · 8+ years experience
Onsite
Discovered 6 days ago
awsjavakafkakubernetespostgresqlreact

Full Job Posting

Job responsibilities

  • 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
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • 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
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • 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.
  • 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.
  • Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

  • Formal training or certification in software engineering concepts and 8+ years of hands-on experience in software development.
  • Deep expertise in Java /JVM ecosystem, Spring Boot framework.
  • Proven experience building robust APIs and microservices architectures.
  • Strong proficiency in AWS cloud services and Kubernetes for container orchestration.
  • Hands-on experience with Kafka for architecting and building distributed messaging and event-driven architectures.
  • Advanced skills in PostgreSQL and database optimization.
  • Demonstrated ability in performance tuning and troubleshooting complex systems.
  • Experience in real-time data processing.
  • Proven experience with React JS and modern front-end development practices.
  • 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 hands experience with 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
  • Proficient in all aspects of the Software Development Life Cycle, including CI/CD, automation, and application resiliency with experience working in Agile teams and partnering with product and engineering stakeholders.

Preferred qualifications, capabilities, and skills

  • Financial Services experience

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