Director Of Engineering - Java, React, RAG & GenAI

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:
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.