云与人工智能基础设施工程师

We are seeking a Cloud & AI Infrastructure Engineer to design, build, operate, and optimize the Azure and AI platform that supports our internal applications, AI agents, copilots, automations, and enterprise data workloads.

This role is responsible for providing a secure, reliable, and cost-effective cloud foundation as our AI and application landscape scales. The ideal candidate will bring strong hands-on experience with Azure infrastructure, infrastructure-as-code, CI/CD, monitoring, observability, and cloud cost optimization. This person will work closely with Application Development and Data Management to ensure AI-enabled solutions are production-ready, well-governed, and operationally supportable.

This is not a general infrastructure support role. We are looking for an engineer who can help establish modern cloud engineering discipline around provisioning, deployment, logging, monitoring, security, and cost control for AI-enabled systems.

The employee may be required to perform other job-related duties as requested by management. All duties will be assigned in accordance with applicable laws and company policies.

Responsibilities

• Design and provision Azure and AI resources using infrastructure-as-code, ensuring consistency, scalability, and maintainability.
• Establish and enforce standards for networking, identity, monitoring, security, tagging, and cloud resource governance.
• Build and maintain CI/CD pipelines for AI-enabled applications, internal platforms, agents, and automations.
• Implement and support logging, telemetry, monitoring, and observability practices for AI and cloud-based workloads.
• Partner with Application Development and Data Management to ensure solutions are deployed and operated in a secure, reliable, and supportable manner.
• Manage Azure and AI platform environments across development, testing, and production.
• Monitor and optimize Azure and Azure OpenAI usage and spend, right-size resources, and help improve cloud cost visibility and efficiency.
• Partner with Finance and IT leadership on cloud cost reporting, chargeback visibility, and optimization opportunities.
• Support identity, access, secrets, and security practices required for enterprise cloud and AI workloads.
• Help define and maintain operational standards for backup, resiliency, recovery, alerting, and support readiness.
• Troubleshoot deployment, performance, connectivity, and infrastructure issues affecting applications, agents, and cloud services.
• Contribute to architecture discussions related to hosting, integration, scaling, environment design, and operational controls.
• Document cloud patterns, standards, deployment approaches, and support procedures in a clear and practical way.
• Evaluate and introduce appropriate tools and patterns that improve reliability, delivery speed, visibility, and cost management.

Required Qualifications

• Bachelor's degree in Information Systems, Computer Science, Engineering, or a related field. Equivalent experience may be considered.
• 4+ years of experience in cloud engineering, platform engineering, DevOps, or infrastructure engineering.
• Strong hands-on experience with Microsoft Azure services and cloud architecture.
• Experience with infrastructure-as-code such as Terraform, Bicep, ARM templates, or similar tools.
• Experience building and maintaining CI/CD pipelines for application and platform deployment.
• Experience implementing monitoring, logging, alerting, and observability for production systems.
• Understanding of identity, access control, security, and networking concepts in cloud environments.
• Experience supporting production applications and cloud platforms with a focus on reliability and operational excellence.
• Strong troubleshooting and problem-solving skills.
• Ability to work effectively with software developers, data engineers, and technical leadership.

Preferred Qualifications

• Experience supporting AI or machine learning workloads in Azure.
• Familiarity with Azure OpenAI and the infrastructure patterns needed to support AI-enabled applications.
• Experience with containerization, orchestration, or modern hosting models.
• Experience with FinOps, cloud cost optimization, tagging governance, or cost reporting.
• Experience with secrets management, policy enforcement, and secure deployment patterns.
• Experience in environments with custom internal applications, integrations, and growing cloud platforms.
• Familiarity with observability and telemetry practices for distributed systems and AI applications.

Key Skills

• Azure architecture and provisioning
• Infrastructure-as-code
• CI/CD pipeline engineering
• Logging and observability
• Monitoring and alerting
• Identity and access controls
• Cloud networking and security
• Azure OpenAI platform support
• Cloud cost optimization
• Production support and reliability engineering
• Cross-functional technical collaboration

What Success Looks Like

In this role, success means:

• Azure environments are provisioned consistently and governed effectively
• AI-enabled applications and agents are deployed through repeatable and reliable pipelines
• Logging, observability, and alerting are strong enough to support production operations
• Azure and Azure OpenAI usage is monitored and optimized for both performance and cost
• Cloud standards for identity, networking, security, and tagging are followed consistently
• Application Development and Data Management teams can move faster because the platform foundation is stable and well run
• IT leadership and Finance have clearer visibility into cloud consumption and optimization opportunities

Compensation: $160,000 - $190,000 salary

Attention external recruitment firms, we will not accept any unsolicited resumes at this time. Please do not contact any internal member of our company to discuss the position or to solicit candidates.

Hanwha Energy USA provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.