Director of Engineering - Java Full Stack (React & GenAI)

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: 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.

Experience Level

Executive Level