Key Responsibilities
1. Cloud Platform & DevOps
- 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.
4. Automation & AI Engineering
- 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.
- Promote maintainable AI-assisted engineering practices.
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 Integration
- 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 Cloud
- 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
