Cloud & AI Infrastructure Engineer
Hanwha Energy USA · Remote
Posted about 2 months ago · $160,000 - $190,000
or apply directly on Hanwha Energy USA's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 53 days Hanwha Energy USA's roles stay open a median of 53 days
- Reposted
- No
- Salary listed
- Yes 100% of Hanwha Energy USA's roles list one
- Ghost-job risk at Hanwha Energy USA
- high 15 stale, 2 reposted of 25 open
- Hiring momentum
- 33 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-25
Measured from postings appearing on and disappearing from Hanwha Energy USA's own greenhouse board since 2026-08-03. Full hiring picture for Hanwha Energy USA.
About this role
The Cloud & AI Infrastructure Engineer will design, build, operate, and optimize the Azure and AI platform for internal applications and data workloads. This role focuses on creating a secure and cost-effective cloud foundation, ensuring AI solutions are production-ready, and collaborating with development and data teams. Responsibilities include managing Azure environments, implementing CI/CD pipelines, and establishing cloud governance standards.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Hanwha Energy USA as an employer.
What you need
- Bachelor’s degree in Information Systems, Computer Science, Engineering, or a related field
- 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
Nice to have
- 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
What you get
- $160,000 - $190,000 salary
Worth weighing
- The role emphasizes modern cloud engineering practices, which may require continuous learning and adaptation to new technologies.
- The job description is quite detailed, indicating a high level of responsibility and expectations for performance.
- Remote work may require strong self-management and communication skills.
- No specific benefits beyond salary are mentioned, which may be a consideration for candidates looking for comprehensive compensation packages.
Summarised from Hanwha Energy USA's posting. Read the full original.
Listed by Hanwha Energy USA on their greenhouse job board, last confirmed open on 2026-09-25. PitchMeAI is not the employer.
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