Principal Software Engineer ( Sr Architect

Role:
Principle Software Engineer - ( Senior Enterprise Architect)

Location:
DALLAS TX (
hrbrid role) REMOTE option will be available for the right candidate.

Eligibility Requirements
:

Candidates on Optional Practical Training (OPT/CPT /EAD) status DO NOT qualify for this position.

About Blue Yonder

• 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.
  • Revolutionizing the retail industry by transforming planning and operations, improving demand forecasting, inventory management, fulfillment, and enhancing customer experience with personalized shopping, returns, and real-time insights.

• 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.

• 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 solutions
• 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

• Software/Tools: Python, Git Hub, Node.js, React.js, Git Hub Actions, Codacy, Git Hub Advance Security, Black Duck Hub, Blaze Meter, Artifactory, Ansible, Docker, etc.
• Application Architecture: Scalable, Resilient, event driven, secure multi-tenant Microservices architecture
• Cloud Architecture: MS Azure (ARM templates, AKS, Virtue Networks, Event Hub, Azure AD)
• Frameworks/Others: Kubernetes, Kafka, Elasticsearch, Spark, NOSQL, RDBMS, Spring Boot, Snowflake

• 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 Python ( preferred) or
  Java, spring boot, microservices based architecture
• 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, Graph
  
  QL, Hibernate, No
  
  SQL, RDBMS, Docker, Kubernetes, Kafka, React.
• Experience with Dev Ops, Infrastructure as Code and infrastructure automation.
• Good Understanding of secure architectures, secure configuration, identity management, role-based access…