Lead Software Engineer- Java Lead

JPMorganChase•Houston, TX

About The Position

As a Lead Software Engineer at JPMorganChase within the Corporate Sector, you will be an integral part of an agile team enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you will deliver critical technology solutions across multiple technical areas and business functions in support of the firm’s business objectives. The role includes designing, developing, testing, and supporting software systems, building secure and high-quality production code, and contributing to operational stability. You will guide the team’s use of enterprise-authorized AI-assisted engineering tools and practices, establish standards for validating AI outputs, and promote secure, responsible, and effective adoption. You will also identify opportunities to automate recurring remediation and evaluate architectural designs and technical solutions with vendors, startups, and internal teams.

Requirements

  • Formal training or certification in software engineering concepts.
  • At least 5 years of applied, hands-on software engineering experience, including system design, backend development, testing, and production support.
  • Proficiency in backend technologies such as Java, Spring Boot, or Node.js, and experience building microservices-based applications.
  • Practical experience delivering system design, application development, testing, and operational stability.
  • Ability to independently solve design and functionality challenges with minimal supervision.
  • Advanced proficiency in one or more programming languages.
  • Experience leading effective use of approved AI-assisted software development tools for coding, code review, test acceleration, or troubleshooting, and setting team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations.
  • Experience coaching engineers on safe, compliant adoption of AI tools within delivery practices.
  • Proficiency in all aspects of the Software Development Life Cycle.
  • Advanced understanding of agile methodologies and practices such as CI/CD, application resiliency, and security.
  • Demonstrated proficiency in software applications and technical processes within a technical discipline, such as cloud, artificial intelligence, machine learning, or mobile.
  • Practical cloud-native experience.

Nice To Haves

  • Strong presentation, negotiation, mentoring, and stakeholder management skills.
  • Strong problem-solving, analytical, and communication skills.
  • Ability to drive broader impact by sharing and contributing best practices.
  • Experience in the banking domain.
  • AWS certification.

Responsibilities

  • Design, develop, and troubleshoot software solutions, using creative approaches to build solutions and address technical problems.
  • Develop secure, high-quality production code, and review and debug code written by others.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
  • Establish consistent validation standards for AI-assisted work, including secure coding, peer review, and automated testing, and promote reuse of effective patterns.
  • Use Software Development Life Cycle tools, including authorized AI-assisted development and automation capabilities, to improve the value of automation.
  • Identify opportunities to eliminate or automate remediation of recurring issues to improve application and system operational stability.
  • Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and applicability to existing systems and information architecture.
  • Deliver system design, application development, testing, and production support.
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