Principal Software Engineer ( Sr Architect

Position: Principal Software Engineer ( Sr Architect )
Overview

Role:
Principle Software Engineer - Senior Architect

Location:

DALLAS TX - Hybrid role (no REMOTE option)

Other Synonym Titles:
Java Architect, Software Architect, Application Architect

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.

About the Role/Product Development Team

• 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.

What you ll do

• 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

Our Current Technical Environment

• 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

What we are looking for

• Bachelor s degree (STEM preferred) and minimum 12 to 15 years of experience in Software development with a minimum 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 maintaining 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…