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.
