We are seeking a versatile and strategic Software Architect to lead a dedicated, embedded engineering team for a greenfield initiative. You will act as a core technical leader supporting the NAOU Supply Chain Product Operating Model, driving discovery, design, and iterative delivery of net-new supply chain software capabilities. You will bridge the gap between engineering and product management, building rapid prototypes, integrating with enterprise systems, and establishing AI-assisted engineering practices across procurement, manufacturing, and order management domains.
Essential functions
- System Architecture & Design: Architect cloud-native, full-stack, microservices, and event-driven systems for the TCCC supply chain domain. Lead the technical design for capabilities across Direct Procurement (BOM accuracy, supplier performance), Manufacturing Operations (OEE, deviation MTTR), and NAOU Order Management.
- Enterprise Integration: Design and implement API-first, event-driven integration patterns with TCCC enterprise systems, including SAP, OTM, and FourKites, utilizing standardized ingestion frameworks.
- Cloud Infrastructure & Data: Drive the technical strategy on Microsoft Azure, utilizing Azure DevOps for CI/CD and the Azure Data ecosystem (Data Fabric, Synapse, Databricks, Power BI) for scalable data processing and analytics.
- Product-Centric Engineering Delivery: Collaborate directly with TCCC Product Managers to define and prioritize the backlog. Lead your team in problem framing, building instrumented MVPs, and iteratively developing, testing, deploying, and measuring production increments.
- AI-Assisted Engineering: Establish and apply AI-assisted SDLC practices using approved tools like GitHub Copilot and Codex to accelerate development and improve code quality. Ensure stringent quality engineering practices are embedded throughout the delivery lifecycle
Qualifications
- Proven background as a Software Architect, Resident Architect, or Staff/Principal Software Engineer leading cross-functional teams in enterprise supply chain, manufacturing, or e-commerce environments.
- BS, MS in Computer Science, Software Engineering, Machine Learning, or equivalent degree with applicable experience
- Deep hands-on expertise with the Microsoft Azure cloud-native stack and Azure DevOps.
- Strong foundation in full-stack and microservices development (e.g., Java, Spring, or similar robust frameworks), with a proven ability to decouple legacy systems or build greenfield distributed systems from scratch.
- Practical experience with event-driven architectures (e.g., Kafka, Azure Event Hubs) and data ecosystems (Databricks, Synapse). Experience integrating with major ERP and supply chain systems (SAP, FourKites) is a significant plus.
- Experience working in iterative, product-centric operating models (rather than fixed-deliverable projects), building rapid prototypes and driving measurable KPIs.
- Familiarity with integrating AI capabilities (Copilot, Codex) into the engineering workflow and championing strict automated testing and QA standards.
We offer
- Opportunity to work on cutting-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, vision, dental, etc.
- Corporate social events
- Professional development opportunities
- Well-equipped office
Please note that all onboardings must occur in person and you may be asked to travel to attend.
