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Blue Yonder

Director Of Engineering - Java, React, RAG & GenAI

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Job Description

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.

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About Company

Job ID: 147496907

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