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Open nowPosted 29 days ago

Software Engineer

MyCareersFuture94,028 open roles

Pay
SGD 4,000 – SGD 6,000 a month
Where
West, Singapore
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Your applicationOpen nowSoftware EngineerMyCareersFuture · West, Singapore
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The clock on this job

Early applications get read.

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Share of postings closed within
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  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 29 days ago

The posting

Why This Role Matters:

We're building the brains of modern operations. Whether it's a logistics hub, a smart warehouse, or a tech-enabled facility, we bring together IoT, AI, and automation to drive efficiency and intelligence. As a Software Engineer, you’ll turn fragmented systems into one smooth, data-driven platform — unlocking insights, automating routine tasks, and making operations smarter by design.

What You’ll Do:

  • Develop backend services to ingest and process data from IoT devices, energy meters, and video analytics.
  • Integrate with vendor APIs and SDKs (e.g., MQTT brokers, HTTP/REST APIs, camera RTSP streams).
  • Deploy and wrap AI models (e.g., YOLO, LLMs) as microservices or cloud functions.
  • Build pipelines to store, clean, and analyze real-time data.
  • Work closely with frontend engineers to deliver data and insights to dashboards.
  • Participate in product design discussions, help evaluate third-party hardware/software.
  • Collaborate with frontend developers to surface critical insights on operational dashboards.

What You Bring:

  • 1–2 years in hands-on software development (Python preferred).
  • Experience building APIs(REST, FastAPI) and deploying on cloud platforms (especially AWS).
  • Familiarity with Docker, Git, and basic DevOps workflows.
  • Exposure to AI/ML models, even if it's just deploying or integrating them into workflows.
  • Comfortable reading vendor docs, testing SDKs, and troubleshooting real-world device setups.

Bonus Points for:

  • MQTT or other message brokere xperience.
  • Interest in automation for logistics, robotics in warehouses, or smart building controls.
  • Familiarity with Anthropic’s MCP or similar model orchestration frameworks.

Required:

  • Bachelor's degree (or higher) in one of the following fields:
  • Computer Science
  • Electrical or Computer Engineering
  • Mechatronics
  • Robotics
  • Information Systems
  • Data Science (with strong software/IoT background)

Preferred or Bonus Experience:

  • Hands-on experience with IoTdevice integration
  • AI/ML deployment knowledge
  • Experience working in logistics, warehousing, or facilities automation
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