Software Engineer II - Supply Chain & Operations

Fisher Dynamics•St. Clair Shores, MI

4d•Onsite

About The Position

The SW Engineer - II (Supply Chain & Operations) will architect and develop the operations and supply chain backbone of Fisher Dynamics' custom ERP platform from the ground up. This position will design and build core modules including Inventory Management, Supply Chain, Manufacturing, and Procurement systems, while being the architect of these systems with AI-native capabilities embedded from the start — demand forecasting, supply chain optimization, predictive maintenance, inventory optimization, and intelligent procurement powered by machine learning. They will work closely with ML/AI engineers to design APIs and data structures that seamlessly integrate intelligent features, while making sure the platform is robust, scalable, secure, and positioned to support intelligent, autonomous supply chain and manufacturing operations.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field.
4-6 years of professional software engineering experience building production systems.
Demonstrated experience designing and developing supply chain, manufacturing, or ERP systems required.
Advanced proficiency in backend languages (Python, Java, C++, Go) and modern frameworks.
Expert-level SQL and relational database design, optimization, and performance tuning.
Strong experience with cloud platforms (AWS, GCP, Azure) and cloud-native architecture.
API design and implementation (REST, GraphQL, event-driven architecture).
Containerization (Docker) and orchestration (Kubernetes) expertise.
CI/CD, infrastructure-as-code (Terraform, CloudFormation), and DevOps practices.
Understanding of distributed systems, scalability, and high-availability architecture.
Knowledge of supply chain systems architecture, inventory management, and manufacturing processes.
Experience with event streaming and real-time data processing.
Security best practices, encryption, authentication, authorization, and compliance.
Experience with monitoring, observability, logging, and incident response.
Familiarity with AI/ML model integration and real-time inference APIs.
Understanding of manufacturing operations, supply chain workflows, and inventory optimization concepts.
Strong communication skills and ability to collaborate across teams.
Candidates MUST be local to the Metro Detroit Area.
Candidates must be legally authorized to work in the US without requiring sponsorship now or in the future.

Nice To Haves

Master's degree preferred.
Experience with inventory management, demand planning, or procurement systems strongly preferred.

Responsibilities

Design and develop Inventory Management systems including stock levels, warehouse management, and multi-location support.
Build Supply Chain modules for purchase orders, supplier management, inbound logistics, and supply visibility.
Implement Manufacturing modules for production scheduling, work orders, bill of materials, and production tracking.
Develop Procurement systems with vendor management, purchase order workflows, and supplier analytics.
Design APIs and data structures that enable seamless embedding of AI/LLM models into supply chain and manufacturing workflows.
Build inference APIs for real-time demand forecasting, inventory optimization, and supply chain anomaly detection.
Implement predictive maintenance APIs that integrate with manufacturing systems to predict equipment failures.
Design feature export pipelines that feed ML models with supply chain, inventory, and production data.
Design data models for supply chain entities: suppliers, SKUs, inventory levels, production schedules, demand signals.
Implement data synchronization between procurement, inventory, manufacturing, and financial systems.
Build supply chain event streaming for real-time visibility and AI model inference.
Optimize query performance for complex supply chain and manufacturing analytics.
Develop RESTful and event-driven APIs that expose supply chain and operations modules to frontends, integrations, and third-party systems.
Implement secure data access layers with role-based access control for different supply chain and manufacturing user types.
Build event streaming for real-time supply chain data updates and ML model consumption.
Ensure APIs handle complex supply chain rules, multi-warehouse operations, and production constraints.
Deploy supply chain and operations systems on cloud infrastructure (AWS, GCP, Azure) with high availability.
Build CI/CD pipelines, containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code.
Implement monitoring, logging, alerting, and performance optimization for operations systems.
Ensure compliance with manufacturing data governance and operational requirements.
Partner with ML/AI engineers to design APIs that connect supply chain and manufacturing AI models to ERP transactions.
Ensure supply chain data pipelines support real-time model inference for forecasting and optimization.
Support A/B testing and validation of AI-powered supply chain features.
Translate AI model requirements into technical specifications and implementation.