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Lead Software Engineer - Full Stack Java

JPMorgan Chase
Chicago, USA
Full-time
Lead · 5+ years experience
Onsite
Discovered 1 weeks ago
angularawselasticsearchhibernatejavakafka

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
  • 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.
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years hands on Software Development Life Cycle experience
  • Experience implementing solutions using Java, SQL, UI frameworks, Design patterns, microservices, Cloud native architecture, Angular/React, RESTful APIs for enterprise-scale applications.
  • Experience with SQL performance tuning, JDBC, and ORM frameworks (Hibernate/JPA)
  • Strong experience in various SQL and NoSQL datastores including Oracle, MongoDB
  • Deep knowledge in caching technologies such as Elasticsearch, Reddis and so on
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • 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
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Proficiency in unit testing frameworks such as JUnit and Mockito for ensuring code quality.
  • Deep knowledge of messaging platforms such as Apache Kafka

Preferred qualifications, capabilities, and skills

  • Familiarity with DevOps practices, containerization and orchestration
  • Exposure to AI systems such as Copilot, Claude
  • Exposure to AWS technology stack

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