Fusion Worldwide - Software Developer
Upload My Resume
Drop here or click to browse · PDF, DOCX, DOC, RTF, TXT
Requirements
• 5+ years of software development experience, including at least 2 years operating production systems you built yourself. • Strong backend development skills in Python (or similar), with solid fundamentals in API design, async processing, and database modeling. Comfortable with both SQL and NoSQL — and knows when to use which. • Hands-on experience deploying and operating production systems: containers (Docker), at least one cloud platform (AWS/Azure/GCP) oron-prem Linux administration, CI/CD pipelines, and basic observability (logs, metrics, alerts). • Experience designing and running data pipelines that ingest from external sources (APIs, hardware, files) into a queryable store. • Comfortable with networking fundamentals — TCP/IP, firewalls, VPNs — and connecting industrial or warehouse equipment to backend services. • Familiarity with AI/ML APIs or frameworks for vision tasks (OCR, object detection, classification). You don't need to train models from scratch, but you should know how to integrate and fine-tune existing ones. • Comfortable working in an operational environment — able to gather requirements directly from non-technical stakeholders and translate them into working systems. • Strong ownership: you can take a project from a vague operational need through to a deployed, monitored, documented solution. • Good to have • Exposure to industrial equipment data protocols (Modbus, MQTT, OPC-UA, serial, vendor REST APIs). • Experience with computer vision or barcode/OCR technologies (YOLO, Tesseract, ZXing/pyzbar, cloud vision APIs). • Message queues or streaming tools (RabbitMQ, Kafka, Redis Streams). • Background in warehouse management systems (WMS) or laboratory information management systems (LIMS). • Experience in electronics distribution, semiconductor, or supply chain environments.
Responsibilities
• Design, develop, and deploy automation and AI-assisted solutions for warehouse and test lab operations. • Set up and maintain the deployment infrastructure these tools run on — databases, application hosting, CI/CD, backups, and monitoring. • Design and operate data pipelines that ingest equipment data from warehouse systems and Prosemi test lab machines into centralized, queryable stores for real-time monitoring and automation. • Build and maintain barcode label recognition and authentication systems using OCR and computer vision techniques. • Develop inventory auto-count and verification workflows that reconcile physical stock against database records in real time. • Manage the on-premise and/or cloud environments where these systems run, including networking between warehouse equipment and centralized services. • Implement basic security and access controls — authentication, secrets management, and network segmentation between equipment and corporate systems. • Work closely with the engineering team to ensure solutions follow company standards and remain maintainable at scale. • Iterate rapidly on released solutions — applying updates, feature additions, and adjustments with minimal turnaround time. • Own runbooks and documentation for the tools you build so operations teams can self-serve. • Barcode AI recognition — OCR and vision-based label reading and authentication to reduce manual verification errors. • Inventory auto-count — Automated physical inventory counting with real-time database cross-verification. • Machine data integration — Connecting test lab and warehouse equipment to structured data pipelines. • Operational dashboards — Visibility tools that surface key metrics to operations and quality teams.
Benefits
• Attractive salary package with medical and dental benefits. • Modern, open-concept working environment. • Collaborative and motivated team culture. • Supportive management invested in your success. • Smart casual dress code. • Conveniently located within walking distance from Taiseng MRT station.
No credit card. Takes 10 seconds.