Lead Software Engineer - Analytics & Feedback Platforms

JPMorganChaseColumbus, OH, United Statesfull timeLead
ActiveVerified 5h ago

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Employee Platforms, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • 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.
  • 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

Required qualifications, capabilities, and skills
  • Formal training, certification, or equivalent experience in Software Engineering with 5+ years of applied experience designing, developing, and delivering enterprise software solutions.
  • Hands-on experience in system design, application development, testing, deployment, and operational support of scalable and resilient applications.
  • Advanced proficiency in one or more programming languages, with demonstrated ability to develop high-quality, maintainable, and secure code.
  • Demonstrated experience using AI-assisted software development tools to improve engineering efficiency, including code generation, code reviews, testing, troubleshooting, and documentation, while ensuring output quality, security, and performance standards.
  • Strong understanding of Responsible AI practices within engineering workflows, including data sensitivity, secure handling of inputs and outputs, compliance with enterprise standards, and coaching team members on safe AI adoption.
  • Proficient in all phases of the Software Development Life Cycle (SDLC), including requirements analysis, design, development, testing, deployment, monitoring, and support.
  • Advanced understanding of Agile software development methodologies, CI/CD pipelines, application resiliency, observability, and security best practices.
  • Experience developing and supporting technology solutions within the financial services industry or other highly regulated environments.
  • Hands-on experience building and deploying cloud-native applications, leveraging modern cloud platforms, microservices, and distributed architectures.
  • Strong server-side development experience with Java, JEE, Spring, Spring Boot, REST APIs, Kafka, JUnit, integration testing, and Behavior-Driven Development (BDD) practices.
  • Proven programming and coding expertise with a passion for delivering high-quality, scalable, secure, and production-ready applications that drive business value.

Preferred qualifications, capabilities, and skills
  • Strong analytical and problem-solving skills, with the ability to evaluate multiple solution options and make sound technical decisions with limited oversight.
  • Working knowledge of financial services technology environments, controls, compliance expectations, and regulatory considerations.
  • Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field, or equivalent practical experience.

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