Director Of Engineering - Java, React, RAG & GenAI at Blue Yonder

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

05 Sep, 26

Salary

0.0

Posted On

07 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Spring Boot, React.js, Generative AI, RAG, Microservices, Azure, Kubernetes, TypeScript, Kafka, Vector Databases, LLMOps, Distributed Systems, SaaS Architecture, Technical Leadership, Prompt Engineering

Industry

Software Development

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.

Responsibilities

Lead multiple engineering teams in the design and delivery of scalable, cloud-native full-stack applications for supply chain solutions. Drive the integration of Generative AI and RAG architectures to enhance product automation and decision intelligence.