Lead Software Engineer (Java)

Job Requirements: "We Power the Magic!" Our team creates world-class digital experiences and the platforms behind them for the Company's premier brands. This role sits within the Merchandise & Publishing Technology portfolio, which builds and runs the systems that move products and stories from creation to Guest and consumer: product lifecycle and licensing platforms, publishing workflows, and the merchandise systems that connect them. The team works closely with engineers, product owners, Licensing and Publishing business leaders, vendors, and application support teams.

EmbedGitHub Copilot, Cursor, Amazon Q, Claude, and Kiroacross design, coding, code review, testing, documentation, and troubleshooting. Establish standards for prompting, context management, AI-generated code review, security, IP, and quality, while measuring impact on delivery speed, defect rates, and developer experience. Build AI into products. Design and deliver AI-enabled capabilities, including intelligent search, metadata extraction and validation, AI-assisted PRD and artifact generation, and agentic workflows. Evaluate build-vs-buy options forLLM platforms, APIs, and orchestration frameworks, taking proofs of concept through production. Apply AI to operations. Partner with application support and SRE teams to improve incident triage, ticket-to-incident automation, knowledge discovery across documentation andJIRAhistory, root-cause analysis, and proactive risk detection. Set architectural direction. Translate complex business, functional, and technical requirements into solution architecture. Partner with Architecture and IT stakeholders to evaluatesoftware, hardware, SaaS/PaaS, build-vs-buy decisions, and technology roadmaps aligned with reference architecture. Own production health. Ensure always-on systems remain reliable through troubleshooting, root-cause analysis, observability and alerting, incident response, and on-call participation. Proactively manage risks involving certificates, key management, vendor services, and upstream integrations. Oversee vendors and partners. Set technical expectations for vendor engineering teams, review delivery and engineering quality, and surface risks early. Raise engineering quality. Lead code and design reviews, automated testing, and continuous improvement of engineering processes, tooling, and coding practices. Collaborate across the business. Partner with product owners, Licensing and Publishing stakeholders, delivery managers, business analysts, and engineering teams to align solutions, estimate delivery, and communicate technical decisions and business value. Mentor and multiply. Coach engineers on AI-assisted development practices and help teams across the portfolio adopt effective approaches. Required Qualifications & Skills 7+ years of experience building large-scale software systems and web applications, leading engineering teams and projects, and delivering solution and application architecture. Strong hands-on experience with Java 21+, Spring, microservices, and RESTful APIs. Hands-onNode.jsexperience developing services and APIs using asynchronous and event-driven patterns. Proficiency developing Angularapplications, including component architecture, state management, and backend integration. Deep experience with DynamoDB, Aurora, MySQL, Kafka, Docker, and CI/CD pipelines. Demonstrated production use of AI coding assistants and agents, including Copilot, Cursor, Amazon Q, Claude, and Kiro, with measurable impact. Experience integratingLLMsinto applications, including prompt and context design, retrieval-augmented generation, tool/function calling, evaluation, and cost and latency management using Amazon Bedrockor comparable platforms. Experience operating distributed production systems using Splunk, Grafana, or AppDynamics, with ownership of always-on services. Proven ability to lead cross-domain architectural initiatives and technical decision-making. Experience with enterprise architecture repository tools, including BlueDolphin. Hands-on familiarity withAWS, API-led integration, security-by-design, and data architecture principles. Strong understanding of object-oriented design, coding best practices, and Agile/Test-Driven Development. Ability to independently lead complex projects, set technical direction, solve challenging problems, and guide testing and debugging. Ability to manage multiple priorities and make timely decisions in high-pressure environments. Experience working with distributed/remote teams and external vendors. Strong mentoring skills with the ability to train, guide, and review the work of junior engineers. Clear, concise communication skills with the ability to summarize risks, decisions, and next steps for product owners, business partners, and senior leaders. Adaptable and comfortable working in fast-changing, ambiguous environments.