Job Description

Fusion Worldwide is looking for a hands-on developer who can both build applications and stand up the infrastructure they run on. This role sits at the intersection of software engineering and day-to-day operations — you will own solutions end-to-end, from database design and deployment pipelines through to the application layer and operational dashboards.

You'll significantly shorten the time between an operational need and a working solution. We prioritize shipping working tools quickly, then hardening them as they prove their value.

What We Can Do For You

• Offer support through a collaborative, open environment alongside seasoned professionals with decades of industry expertise.
• Enable career growth through direct and focused mentorship.

What You Can Do For Us

Key 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.

What you will work on

• 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.

Who We’re Looking For

• 5+ years of software development experience, including at least 2 years operating production systems you built yourself.
• Minimum of a Bachelor’s Degree in computer science or a related discipline is required for this role.
• 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.

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.