DevOps & Edge Integration Engineer

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

Bridge cloud platform operations and on-site project integration, owning deployment, data ingestion, and automation across cloud, private, and air-gapped environments.

We are hiring a DevOps and Edge Integration Engineer to bridge cloud platform operations and on-site project integration. You will be responsible for internal development, testing, and demo environments, future cloud product infrastructure, and deployment and data ingestion for customer projects in restricted-network, private, or air-gapped environments. AI tools such as Claude Code, Codex, and Pi are used to improve engineering efficiency, while the core remains reliable deployment, operations, integration, and automation.

What you will do

• 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

What we are looking for

• 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
• Strong communication and documentation skills, and the ability to use AI coding tools effectively

Nice to have

• Data ingestion via Modbus, OPC UA, MQTT, SNMP, RESTful APIs, or file-based interfaces
• Familiarity with BMS/DCIM, SCADA, industrial IoT, edge gateways, or facility monitoring
• Experience with Terraform, Ansible, Helm, GitOps, or maintaining offline / air-gapped deployments