Edge & Cloud DevOps Engineer for On-Site Integrations

Red Dot AI; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Red Dot AI is hiring a DevOps and Edge Integration Engineer to bridge cloud platform operations and on-site project integration. You will own deployment, data ingestion, and automation across cloud, private, and air-gapped environments, supporting internal development, testing, and customer deployments.

You will maintain Azure/GCP environments, build reusable deployment scripts, integrate BMS/DCIM and IoT gateways, and apply AI-assisted tooling to improve scripting and docs.

Qualifications

• 2–6 years in DevOps, cloud platforms, system integration, deployment engineering, or platform engineering.
• Strong Linux, Docker, Shell/Python, CI/CD, logging, monitoring, and network troubleshooting.
• Basic Kubernetes operations and cloud platform experience (Azure, GCP, or Alibaba Cloud).
• Ability to work in private, restricted-network, offline, or air-gapped environments.
• Excellent communication and documentation skills; familiarity with AI coding tools is a plus.

Responsibilities

• Maintain cloud and internal environments across Azure/GCP, VMs, Docker, and Kubernetes, plus CI/CD pipelines, configuration, certificates, logs, and monitoring
• Build and maintain deployment scripts, installation packages, upgrade and rollback procedures, including private, restricted-network, and air-gapped deployments
• Integrate on-site systems such as BMS/DCIM and IoT gateways, with data ingestion via Modbus, OPC UA, MQTT, RESTful APIs, databases, and file interfaces
• Turn repetitive deployment and integration work into reusable scripts, templates, checklists, and health-check tooling
• Use AI engineering tools to support scripting, log analysis, configuration generation, and documentation

Skills

Linux

Docker

Shell/Python

CI/CD

Logging

Monitoring

Kubernetes

Cloud platforms

Modbus/OPC UA

Tools

Terraform

Ansible

Helm

GitOps

Job description

Red Dot AI is hiring a DevOps and Edge Integration Engineer to bridge cloud platform operations and on-site project integration. You will own deployment, data ingestion, and automation across cloud, private, and air-gapped environments, supporting internal development, testing, and customer deployments.

You will maintain Azure/GCP environments, build reusable deployment scripts, integrate BMS/DCIM and IoT gateways, and apply AI-assisted tooling to improve scripting and docs.