Cloud Architect - GCP
About the Company
NOTE: MUST GO THROUGH CLEARANCE PROCESS PUBLIC TRUST
About the Role
Location: Raleigh / Eagan / Schedule: Monday–Friday, 8am – 5 pm Additional Requirements: Some travel may be required to support program needs.
Responsibilities
- Design & Architect — Build cloud solutions (IaaS, PaaS, SaaS) aligned with a Microservices/SOA framework; produce implementation-ready documentation including bill of materials and cost estimates.
- Define Standards — Develop and publish cloud policies, design patterns, and reference architectures for consistent, repeatable solutions.
- Lead Cloud Adoption — Champion cultural change, build roadmaps, and communicate cloud strategies to stakeholders at all levels.
- Document Solutions — Prepare solution descriptions, technical approach, assumptions, risk assessments, and mitigation plans.
- Govern Architecture — Ensure all solutions comply with enterprise technology standards, security requirements, and industry best practices.
- Enable Teams — Identify skill gaps, develop training materials, and deliver technical guidance to engineers and management.
- Manage Vendors — Interface with vendors to ensure standard architectures are followed across projects.
- AI Integration — Leverage AI to accelerate on-prem-to-GCP migration and automate systems, applications, and workflows to improve efficiency and decision-making.
- Automate & Integrate — Automate complex tasks and integrate cloud services with on-premise and third-party platforms.
- Troubleshoot — Act as an IT SWAT team member for high-priority problem resolution across design, development, and operations.
- Communicate — Translate complex technical concepts for both technical teams and executive leadership; produce briefings, technical documentation, and architecture diagrams.
Qualifications
- Bachelor's degree and 13 years of IT experience or 17 years of IT experience without a degree.
- Active Google Cloud Platform (GCP) Certification required.
- Hands-on experience designing, deploying, and scaling solutions on Google Cloud.
- Ability to integrate GCP with SaaS and on-premise platforms (Microsoft, IBM, Oracle, SAP, Linux, etc.).
- Current knowledge of AI and Industry trends, applied to modernize and accelerate software delivery practices (Agile, TDD, CI/CD) and enterprise IT standards.
- Strong understanding of enterprise infrastructure: networking, compute, storage, virtualization, high availability, and monitoring.
Required Skills
- Scripting/automation proficiency: Python, Shell, PowerShell, Ansible, Terraform, Chef, Puppet, or similar.
- Experience with CI/CD pipelines, containerization, and Kafka deployment in production environments.
- Proficiency in Generative AI and prompt engineering.
- Knowledge of IT compliance frameworks (SOX, PCI) in cloud environments.
- Experience with ITSM/ticketing system integrations and workflow processes.
- Familiarity with monitoring-as-code practices and version control systems.