Lead, Full Stack Engineer

## Lead, Full Stack Engineer Solicitar:
Chicago, Illinois:
Reston, Virginia:
Crum Lynne, Pennsylvania:
Boca Raton, Florida:
Full time:
Publicado hoy:
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** Descripción general del equipo
** Trans Union Consumer Interactive (TUCI) develops and supports consumer-facing credit monitoring and protection applications. This engineering team focuses on delivering reliable digital experiences while exploring how Artificial Intelligence (AI) and Generative AI can improve code quality, reduce defects, increase development efficiency, and enhance customer experiences. The successful candidate will join an established team that collaborates across the United States and India.

This role reports to Senior Manager of Application Development.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
** Resumen del rol y responsabilidades clave
*** Lead the technical design and hands-on development of customer-facing web applications, Java-based backend services, microservices, and RESTful APIs.
* Translate business and technical requirements into detailed application designs and independently drive projects from design through implementation.
* Remain actively involved in coding while guiding junior and mid-level engineers, reviewing code, and promoting software-engineering best practices.
* Develop and support full-stack solutions using Java, Spring Boot, Oracle/SQL, JavaScript, HTML, CSS, and related technologies.
* Partner with production support teams to investigate application issues, troubleshoot front-end and backend components, identify root causes, and bring findings back to the development team.
* Coordinate software releases and technical changes across teams located in different geographies and time zones.
* Participate in Agile planning, stand-ups, retrospectives, code reviews, unit testing, integration testing, and continuous improvement activities.
* Evaluate and apply AI and Generative AI technologies to improve code quality, reduce defects, automate engineering activities, and increase development efficiency.
* Explore opportunities to integrate Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI-powered search, and other AI-enabled capabilities into production applications.
* Promote responsible adoption of AI-assisted development tools and mentor engineers on practical AI use cases within software development and product delivery.
** Conocimientos y experiencia requeridos
*** A minimum of 10 years of software-development experience, including at least 8 years of hands-on experience within the Java and Spring ecosystem, with the ability to design and code rather than operate solely as a project or people leader.
* Demonstrated full-stack engineering experience building web applications, backend services, microservices, and RESTful APIs in production environments.
* Proven experience leading technical projects, producing detailed application designs, conducting code reviews, and mentoring junior and mid-level engineers.
* Experience supporting production applications, investigating technical issues, troubleshooting front-end and backend components, and collaborating with production-support teams.
* Practical experience applying AI or Generative AI within software-engineering environments, including the use of AI to support development, testing, defect reduction, troubleshooting, documentation, or engineering productivity.  ##
** Required Technical Skills
*** Advanced hands-on experience with Java, Spring Framework, Spring Boot, Hibernate, microservices architecture, RESTful APIs/Web Services, and SOAP/REST integration.
* Full-stack development experience with JavaScript, HTML, CSS, and jQuery, along with the ability to troubleshoot both front-end and backend application components.
* Strong experience with Oracle Database, SQL programming, relational database design, data structures and algorithms, system design, JSON, YAML, and JUnit-based unit and integration testing.
* Development and production-support experience using Git, Maven, Jenkins, Splunk, Grafana, Sonar Qube, Linux/Unix, and shell scripting.
* Working knowledge of Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), AI-powered search, and AI-assisted development tools such as Git Hub Copilot, Microsoft Copilot,…