DevOps Engineer

• Manage cloud and on-prem environments (Azure/GCP, Docker, Kubernetes, VMs).
• Maintain CI/CD pipelines, monitoring, security, and deployment environments.
• Improve deployment automation, system reliability, and observability.

2. Deployment & Release Engineering

• Develop and maintain deployment scripts, installation packages, upgrade/rollback procedures, and release documentation.
• Support private, restricted-network, and air-gapped deployments.
• Standardize deployment processes through automation and reusable workflows.

3. Edge & System Integration

• Integrate with BMS/DCIM, IoT gateways, and customer systems.
• Build and maintain data ingestion pipelines using Modbus, OPC UA, MQTT, REST APIs, databases, and file interfaces.
• Monitor data quality, connectivity, and system health.
• Leverage AI coding tools (Claude Code, Codex, OpenCode, Pi) for scripting, troubleshooting, documentation, and workflow automation.
• Build lightweight engineering tools for deployment validation, testing, and log analysis.

5. Cross-functional Collaboration

• Collaborate with product, engineering, data science, project teams, customers, and vendors to deliver deployments and resolve technical issues.
• Produce deployment documentation, technical reports, and project updates.
• Develop domain knowledge in data centers, BMS/DCIM, HVAC, cooling, power, and related infrastructure.

Requirement

• 2-6 years of experience in DevOps, Cloud Infrastructure, Platform Engineering, Deployment Engineering, or System Integrationn
• Hands-on experience with Linux, Docker, Kubernetes, Shell/Python, CI/CD, logging, monitoring, and networking
• Familiar with cloud platforms such as Azure, GCP, or Alibaba Cloudd
• Experience supporting private cloud, restricted-network, or air-gapped deployments
• Strong troubleshooting, communication, and cross-functional collaboration skills
• Experience using AI coding tools to improve engineering productivity
• Good technical documentation and reporting skills