Principal Software Engineer ( Sr Architect )

Blue Yonder • Delray Beach, FL

118d • $152,889 - $190,000 • Hybrid

About The Position

Blue Yonder is a Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor's and Texas's 'Best Places to Work'. With over a decade of experience in implementing AI, our solutions empower organizations to enhance agility, accelerate global expansion, and achieve business objectives. Our 2025 focus includes enhancing AI and ML architecture for faster, more impactful decision-making, integrating AI to build resilient supply chains, transforming work through automation of complex tasks, and advancing sustainability by optimizing resources. We are seeking an experienced Principal Software Engineer to lead a team of product engineers in designing, developing, and implementing AI-driven solutions at Blue Yonder and provide strategic technical leadership for our Generative AI initiatives. In this role, you'll shape the architectural direction of our AI systems, lead complex engineering challenges, and drive innovation across our technology stack.

Requirements

• Bachelor's degree (STEM preferred) and minimum 12 to 15 years of experience in Software development; with min of 3 years as Architect
• Strong programming experience and background in Enterprise Java, spring boot, microservices
• Demonstrable experience designing, building deploying and maintenance of enterprise cloud solutions (we use Azure) in AWS, Azure and or GCP
• Demonstrable experience with microservices based architecture on Cloud at scale
• Experience with implementation of Event driven architecture using Kafka, Spark or similar technologies
• Hands-on development skills along with architecture/design experience; should not have moved away from software development
• Demonstrable experience, thorough knowledge and interests in Cloud native architecture, Distributed micro-services, Multi-tenant SaaS solution and Cloud Scalability, performance and High availability
• Experience with API management platforms & providing / consuming RESTful APIs
• Experience with varied tools such as Spring Boot, OAuth, REST, GraphQL, Hibernate, NoSQL, RDBMS, Docker, Kubernetes, Kafka, React
• Experience with DevOps, Infrastructure as Code and infrastructure automation
• Good Understanding of secure architectures, secure configuration, identity management, role-based access control, authentication & authorization, and data encryption
• Strong understanding of ML infrastructure, model serving architectures, and AI system optimization
• Proven track record of shipping products powered by LLMs, RAG systems, and/or AI agents in production
• Exceptional problem-solving skills and strategic thinking abilities

Responsibilities

• Establish the technical vision and architectural foundations for our generative AI platforms and products
• Lead the design and implementation of complex, large-scale AI systems that push technical boundaries
• Design and build scalable, high-performance Generative AI solutions
• Work closely with data scientists to fine-tune, deploy, and monitor LLMs
• Optimize inference pipelines to reduce latency and improve efficiency
• Build distributed AI systems that handle high-throughput workloads
• Mentor engineering leaders and senior engineers, elevating the technical capabilities of the organization
• Identify and solve systemic engineering challenges across model training, deployment, and monitoring
• Establish technical standards, best practices, and architectural patterns for AI engineering
• Drive technical alignment with product management & UX on roadmap and deliverables

Benefits

• Comprehensive Medical, Dental and Vision
• 401K with Matching
• Flexible Time Off
• Corporate Fitness Program
• A variety of voluntary benefits such as; Legal Plans, Accident and Hospital Indemnity, Pet Insurance and much more

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees