About this role
Overview
• Blue 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 Environment
• Backend: Java, Spring Boot, Microservices • Frontend: React.js, TypeScript, modern SPA architecture • Cloud: Microsoft Azure (primary), Kubernetes, Docker • Data & Messaging: Kafka, ElasticSearch, distributed systems • Architecture: Hybrid (Legacy 3-tier + SaaS multi-tenant microservices) • DevOps: CI/CD pipelines, Infrastructure as Code, automation • Agentic AI/GenAI: Azure OpenAI, LLMs (GPT family), prompt engineering, vector databases (FAISS, Pinecone), RAG architectures, AI observability
What 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 & Experience Technical Leadership
• Strong background in: • Java, Spring Boot, Microservices architecture • React.js and modern frontend engineering practices
• Proven experience architecting large-scale full stack enterprise applications • Deep expertise in: • Distributed systems • Cloud-native architecture • Multi-tenant SaaS platforms • Event-driven and AI-augmented architecture
Generative AI & Advanced Technologies Hands-on or leadership experience with:
• Large Language Models (LLMs) and Generative AI platforms (Azure OpenAI, OpenAI, etc.) • Prompt engineering and prompt optimization techniques • Retrieval-Augmented Generation (RAG) architecture • Vector databases and embeddings (e.g., Pinecone, FAISS)
Experience integrating AI into enterprise applications:
• Chatbots, copilots, knowledge assistants • Intelligent automation workflows
Understanding of:
• Model evaluation, monitoring, and fine-tuning strategies • AI governance, security, and ethical considerations
Familiarity with:
• LLMOps / MLOps pipelines • AI observability and performance tracking • Exposure to AI-driven developer productivity tools (e.g., GitHub Copilot)
Leadership & Delivery
• Proven 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 & DevOps
• Expertise in: • Cloud platforms (Azure preferred; AWS/GCP acceptable) • Kubernetes, Docker, container orchestration • CI/CD, DevOps practices, Infrastructure as Code
• Experience building highly available, scalable, and secure system
What We’re Looking For
• 15+ 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 platforms • Transforming legacy systems to cloud-native solutions • Embedding AI/GenAI into enterprise platforms
• Experience 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 domains • Strong exposure to event-driven architecture (Kafka).
What Makes You Successful
• Strategic thinker with strong execution focus • Hands-on leader who can dive deep into technology when needed • Excellent stakeholder management and communication skills • Ability to operate in a fast-paced, product-driven environment • Passion for building scalable, high-quality full stack applications.
Our Values
If 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 Values
All 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.