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TransUnion

Credit reporting, risk analytics, fraud detection

Lead Full Stack Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • 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 artificial intelligence or Generative AI within software-engineering environments, including using AI to support development, testing, defect reduction, troubleshooting, documentation, or engineering productivity.
  • Advanced hands-on experience with Java, Spring Framework, Spring Boot, Hibernate, microservices architecture, RESTful APIs and web services, and SOAP/REST integration.
  • Full-stack development experience with JavaScript, HTML, CSS, and jQuery, along with the ability to troubleshoot 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, SonarQube, Linux/Unix, and shell scripting.
  • Working knowledge of Large Language Models, prompt engineering, Retrieval-Augmented Generation, AI-powered search, and AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, ChatGPT, or comparable platforms.

Responsibilities

  • 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, Retrieval-Augmented Generation, 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.

Desired Qualifications

  • Experience with React and modern front-end development frameworks.
  • Experience with Docker, containerization, WildFly, WebLogic, and Content Management System platforms such as LiveSite.
  • Experience with Azure OpenAI, OpenAI, Claude, Gemini, or comparable AI and Generative AI platforms.
  • Experience building AI-powered customer experiences such as intelligent search, conversational assistants, personalized recommendations, and workflow automation.
  • Experience applying security, governance, privacy, and responsible AI practices when evaluating or implementing AI-enabled solutions.

About the Company

TransUnion

Credit reporting, risk analytics, fraud detection

TransUnion is a global information and insights company. It collects and analyzes data to provide services for businesses and consumers. For business clients, it offers credit portfolio management, marketing solutions, and fraud detection to help manage risk and make informed decisions. For consumers, it provides tools to monitor personal credit, including credit reports and scores. The platform supports enterprise use by enabling storage, identity resolution, and protection for building traditional and generative AI models. TransUnion generates revenue through three segments: U.S. Markets, International, and Consumer Interactive. Its goal is to help customers understand and manage credit risk, prevent fraud, and derive actionable insights from large data assets.

Company size
10,001+
Company stage
IPO
Headquarters
Chicago, IL
Founded
1968

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