DevOps Engineer
Summary
Build and maintain cloud and on-prem DevOps infrastructure for data-center automation, using Azure/GCP, Kubernetes, CI/CD, and AI-assisted scripting to deploy and monitor systems.
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 Integratio n Hands-on experience with
Linux, Docker, Kubernetes, Shell/Python, CI/CD, logging, monitoring, and networkin g Familiar with cloud platforms such as
Azure, GCP, or Alibaba Clou d Experience supporting
private cloud, restricted-network, or air-gapped deployment s Strong troubleshooting, communication, and cross-functional collaboration skills Experience using
AI coding tool s to improve engineering productivity Good technical documentation and reporting skills
Requirement 2–6 years of experience in
DevOps, Cloud Infrastructure, Platform Engineering, Deployment Engineering, or System Integratio n Hands-on experience with
Linux, Docker, Kubernetes, Shell/Python, CI/CD, logging, monitoring, and networkin g Familiar with cloud platforms such as
Azure, GCP, or Alibaba Clou d Experience supporting
private cloud, restricted-network, or air-gapped deployment s Strong troubleshooting, communication, and cross-functional collaboration skills Experience using
AI coding tool s to improve engineering productivity Good technical documentation and reporting skills