OverviewBlue Yonder, a leading AI-driven Global Supply Chain Solutions software company, is seeking a Director of Engineering – Java Full Stack (React) to lead strategic product development initiatives.This role combines deep technical expertise with strong leadership, driving the design and delivery of scalable, cloud-native, full-stack applications. You will lead multiple engineering teams and play a critical role in shaping next-generation Warehouse Management and Supply Chain solutions, enabling seamless logistics in an evolving e-commerce landscape. Technology EnvironmentBackend: Java, Spring Boot, MicroservicesFrontend: React.js, TypeScript, modern SPA architectureCloud: Microsoft Azure (primary), Kubernetes, DockerData & Messaging: Kafka, ElasticSearch, distributed systemsArchitecture: Hybrid (Legacy 3-tier + SaaS multi-tenant microservices)DevOps: CI/CD pipelines, Infrastructure as Code, automationAgentic AI/GenAI: Azure OpenAI, LLMs (GPT family), prompt engineering, vector databases (FAISS, Pinecone), RAG architectures, AI observabilityWhat you’ll do:Provide strategic and technical leadership for multiple Java Full Stack engineering teams (30+ engineers through managers/leads).Define and drive architecture vision for scalable, resilient cloud-native and AI-enabled applications.Lead development of modern SaaS platforms integrating Generative AI capabilities to enhance user experience, automation, and decision intelligence.Drive adoption of AI-assisted engineering (e.g., Copilot, code generation, automated testing).Design and implement AI-powered features such as intelligent recommendations, conversational interfaces, and predictive insights in supply chain products.Oversee end-to-end delivery from planning through production, including AI model lifecycle management (LLMOps).Ensure responsible AI practices, including data privacy, model explainability, and governance.Partner with Product, Data Science, and Architecture teams to embed AI/ML into product strategy and workflows.Establish engineering KPIs including AI adoption metrics, productivity gains, and model performance metrics.Drive innovation through experimentation with emerging GenAI tools and frameworks.Mentor leaders in AI-first engineering mindset and modern development practices.Desired Skills & ExperienceTechnical LeadershipStrong background in:Java, Spring Boot, Microservices architectureReact.js and modern frontend engineering practicesProven experience architecting large-scale full stack enterprise applicationsDeep expertise in:Distributed systemsCloud-native architectureMulti-tenant SaaS platformsEvent-driven and AI-augmented architectureGenerative AI & Advanced TechnologiesHands-on or leadership experience with:Large Language Models (LLMs) and Generative AI platforms (Azure OpenAI, OpenAI, etc.)Prompt engineering and prompt optimization techniquesRetrieval-Augmented Generation (RAG) architectureVector databases and embeddings (e.g., Pinecone, FAISS)Experience integrating AI into enterprise applications:Chatbots, copilots, knowledge assistantsIntelligent automation workflowsUnderstanding of:Model evaluation, monitoring, and fine-tuning strategiesAI governance, security, and ethical considerationsFamiliarity with:LLMOps / MLOps pipelinesAI observability and performance trackingExposure to AI-driven developer productivity tools (e.g., GitHub Copilot)Leadership & DeliveryProven track record of leading large engineering organizations and multiple teams.Experience delivering enterprise-grade SaaS products at scale.Strong experience in Agile/SAFe/Kanban methodologies at scale.Data-driven approach to improving engineering productivity and quality.Ability to influence stakeholders across Product, Engineering, Sales, and Operations.Cloud & DevOpsExpertise in:Cloud platforms (Azure preferred; AWS/GCP acceptable)Kubernetes, Docker, container orchestrationCI/CD, DevOps practices, Infrastructure as CodeExperience building highly available, scalable, and secure systemWhat We’re Looking For15+ years of software engineering experience with 5+ years in leadership roles.5+ years of experience in microservices and cloud-native architectures.Strong experience in full stack development.Demonstrated success in:Building SaaS platformsTransforming legacy systems to cloud-native solutionsEmbedding AI/GenAI into enterprise platformsExperience working with AI/ML teams or leading AI-driven initiatives.Experience leading global/distributed teams and large-scale programs.Certifications in Cloud (Azure/AWS/GCP), Kubernetes, or DevOps (Nice to have)Experience in Supply Chain / Warehouse Management domainsStrong exposure to event-driven architecture (Kafka).What Makes You SuccessfulStrategic thinker with strong execution focusHands-on leader who can dive deep into technology when neededExcellent stakeholder management and communication skillsAbility to operate in a fast-paced, product-driven environmentPassion for building scalable, high-quality full stack applications.Our ValuesIf you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core ValuesAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
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