Note: This is a Hybrid role with 4 days of on-site work and 1 day of WFH work. Please apply ONLY if you're able to commute/work on-site in Cambridge, ON, four days a week.

Must-Have Skills:

Core Engineering

• Java, Spring Boot, REST APIs, Microservices
• Angular, TypeScript, HTML, CSS
• SQL (PostgreSQL / MySQL)
• Docker, Jenkins, Git, CI/CD

AI / Data Engineering

• Python for data analysis & ML
• Machine Learning, Predictive Analytics, Computer Vision
• ETL & streaming pipelines (Kafka, Redis, event-driven systems)

What You'll Do

• Build & maintain full-stack apps for our client's logistics systems
• Design data pipelines for ingestion, streaming, and analysis
• Develop & integrate AI/ML and computer vision solutions into production
• Build predictive and optimization models from operational data
• Partner directly with shop-floor users to gather requirements & validate solutions
• Own deployment, troubleshooting, and long-term maintenance

Nice to Have

• Manufacturing, logistics, or industrial systems experience
• Time-series forecasting, anomaly detection, optimization
• Hybrid mobile dev (Cordova / Android)
• Industrial protocols: MQTT, TCP/IP, PLC, OPC
• Legacy Java / WebSphere
  

Long-term contract, with potential for year over year renewal.