OT Backend Engineer / Industrial IoT Developer (Digital Twin)

randstad pte. limited

Singapore, Cross Street

2-5 Years

SGD 8,000 - 9,000 per month

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Job Description

about the company.

A premier global technology services provider is expanding its physical operations technology (OT) integration group within a collaborative, tech-forward working culture.

about the job.

Take charge of developing and maintaining robust backend systems and middleware that bridge the gap between industrial OT field devices and advanced digital twin platforms.

Develop and maintain backend services and middleware for real-time OT/IoT data ingestion using industrial communication standards.
Build data pipeline components to normalize, process, and route high-frequency telemetry from field devices to platform services and 3D visualization layers.
Integrate generative AI coding tools (e.g., Claude, Copilot) into daily development workflows for efficient code generation, unit testing, and validation.
Write and maintain automated test suites covering custom protocol adapters, data transformation logic, and API integration endpoints.
Collaborate closely with frontend Unity engineers and system architects to design and implement robust REST and WebSocket API contracts.
Troubleshoot field connectivity issues and partner with hardware teams on device commissioning, protocol debugging, and system cutovers.

skills and experience required.

2-5 years of professional experience in backend or systems software engineering, with practical exposure to OT/IoT environments.
Hands-on engineering experience with OPC-UA, MODBUS, and MQTT protocols (active implementation and protocol adapters, not just conceptual knowledge).
Proficiency in at least one modern backend development language (Python, Node.js, Go, or Java).
Active experience leveraging AI coding tools for streamlined development, automated testing, or validation pipelines in current or previous projects.
Strong technical familiarity with event-driven data architectures, message brokers (Kafka, MQTT brokers), or time-series data structures.
Prior exposure to containerization (Docker/Kubernetes), digital twin stacks, or industrial network security protocols is highly preferred.
Possess a Degree or Diploma in Computer Science, Engineering, or equivalent practical technical experience.