첨단 전자 산업의 다음 도약을 이끌 준비가 되셨나요? 빠르게 진화하는 기술과 연결의 시대, 성공을 이끄는 문제 해결에 함께 하길 원하신다면 Qnity 에서 당신의 문제 해결 능력, 열정과 창의력으로 전자산업의 다음 도약을 함께 만들어 가세요.
Qnity 는 첨단 전자 및 하이테크 산업을 위한 글로벌 선도 소재 솔루션 리더이자, 새로운 가능성에 도전하고 함께 성장하는 팀입니다. 우리는 기술의 한계를 넓히고, 최첨단 기술을 현실로 만드는데 기여하고 있습니다. 미래를 앞서 생각하고 경계를 넘는 도전자, 그리고 다양한 시각을 가진 당신을 기다립니다. 세상을 더 빠르게 연결하는데 중요한 역할을 하는 Qnity 에서 당신의 커리어를 시작하고 도약하세요.
Qnity is accepting applications for a full-time Cloud Architect based at our Chestnut Run Plaza campus in Wilmington, Delaware, USA, supporting the Electronics organization. This is an opportunity to shape the Azure architecture and delivery standards on which Qnity’s analytics and Generative AI capabilities are built.
Qnity is a market leader in specialty materials for electronic devices and microchip fabrication. The Cloud Architect partners with data science, data engineering, and application teams to design, secure, and govern the Azure platform they depend on and reports into the Digital Architecture group.
Key Responsibilities
- Platform architecture: Own the Azure landing zone, secure Data Lake design, and development, test, and production environment layout.
- Infrastructure as Code: Build reusable Terraform modules that provision Generative AI, Databricks, and App Services workloads.
- CI/CD and release governance: Own the Azure DevOps pipeline architecture, Git branching model, and pull request standards for application and platform deployments.
- Generative AI: Architect and productionize agentic retrieval-augmented generation solutions using Azure AI Foundry and Azure OpenAI.
- Lakehouse governance: Lead the Databricks Unity Catalog design and rollout across workspaces, including fine-grained access control and cluster policies.
- Data integration: Establish the pipeline architecture across Databricks and Azure Data Factory and define how curated data reaches Power BI.
- Application and API platform: Define deployment patterns for containerized and PaaS workloads exposed through Azure API Management.
- Identity and network security: Establish patterns for Entra ID, Key Vault, private endpoints, and network isolation across platform and data workloads.
- Migration and portfolio governance: Provide architecture leadership for the non-ERP transition services exit and maintain application portfolio records through go-live.
- Standards and enablement: Document reference patterns, guide solutions through architecture and security review, and coach teams in adopting these standards.
Qualifications
Required
- A bachelor’s degree or higher in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or a closely related field.
- At least one year of experience designing and operating production Azure workloads, including architecture ownership of enterprise platform and data workloads.
- Proven delivery of Infrastructure as Code using Terraform and production CI/CD pipelines in Azure DevOps.
- Direct experience leading a Unity Catalog implementation across multiple Databricks workspaces, with centralized governance and fine-grained access control.
- Proven experience productionizing an agentic retrieval-augmented generation solution using Azure AI Foundry and Azure OpenAI.
- Fluency in Python and PowerShell, with the ability to prototype the patterns you design.
- Ability to build consensus across architecture, security, and engineering functions and guide standards through formal review.
- Eligibility to work on site at Qnity’s Chestnut Run Plaza campus in Wilmington, Delaware, USA.
Preferred
- Azure platform and DevOps delivery experience within specialty materials, electronics, or comparable regulated manufacturing.
- Experience in a large-scale separation, carve-out, or transition services exit program.
- Hands‑on administration of an enterprise architecture repository such as SAP LeanIX.
- A master’s degree in business analytics, information systems, or a closely related technical field.
Technology Environment
- Azure platform and security: Management groups, Azure Policy, RBAC, landing zones, Azure Monitor, Entra ID, Key Vault, virtual networks, and private endpoints.
- Data and AI: Data Lake Storage Gen2, Databricks, Unity Catalog, Delta Lake, Data Factory, Azure SQL, Power BI, Azure AI Foundry, Azure OpenAI, and Azure AI Search.
- Compute and integration: App Services, Functions, Container Apps, Kubernetes, Docker, and API Management.
- DevOps and languages: Azure DevOps Boards, Repos, and Pipelines; YAML, Git, Terraform, and ARM templates; Python, PowerShell, Bash, SQL, REST APIs, and Azure CLI.
Living the Qnity Values
At Qnity, success is measured not only by what we achieve, but also by how we achieve it.
- Customer: Partner with stakeholders to understand needs, solve business challenges, and deliver meaningful outcomes.
- Innovation: Continuously improve processes, technologies, and ways of working.
- Speed: Act with urgency, focus, and precision to move work forward and deliver results.
- People: Build trusted relationships, collaborate across teams, and inspire positive change.
Qnity은 기회균등 고용주입니다. 자격에 부합하는 지원자라면 인종, 피부색, 종교, 신념, 성별, 성적 지향성, 성적 정체성, 기혼 여부, 출신 국가, 나이, 재향군인 지위 유무, 장애 유무 또는 여타 모든 보호 대상 등급과 관계없이 채용 후보로 고려합니다. 포지션을 검색하거나 취업 지원을 위해 합당한 수준의 편의를 제공받아야 하는 경우, 장애인 편의 제공 페이지에서 연락처 정보를 확인하시기 바랍니다 http://www.qnityelectronics/accessibility.html
Qnity은 포괄적인 보상 및 복리후생 제도를 제공합니다. 자세한 내용을 보려면 보상 및 복리후생 페이지를 방문하세요 https://careers.qnityelectronics.com/kr/ko/compensation-and-benefits-final
우리는 채용 프로세스를 개선하기 위해 인공지능(AI)을 사용합니다.