Cloud Architect
Job Location:
Austin, TX - USA
Monthly Salary:
Not provided by the employer
Posted:
11 June 2026 (30+ days ago)
Application Deadline:
8 September 2026
Vacancies:
1 Vacancy
Job Summary
Cloud Architect
Location: Austin TX 78751 Pay Rate: $86-96/hr
Experience: 8 10 Years Skills: Azure GCP
About the Role
Join a high-impact team as a Cloud Architect leading enterprise-wide cloud computing initiatives in a regulated multi-cloud environment. You will architect engineer and optimize scalable cloud infrastructure and applications supporting mission-critical AI and data platforms. This is an opportunity to solve complex challenges drive innovation and ensure reliability security and compliance across major cloud platforms.
Responsibilities
- Architect and implement multi-cloud solutions spanning Azure and GCP for enterprise-scale applications and data/AI workloads
- Direct and support a cloud brokering team ensuring secure reliable and compliant operations across 24 7 environments
- Design and manage monitoring solutions using Azure Monitor Log Analytics GCP Cloud Monitoring and logging frameworks
- Integrate and optimize log ingestion and alerting workflows with Logstash Twilio and advanced notification systems for ETL and operational events
- Engineer and maintain scalable storage systems (Blob Storage Data Lakes structured storage) to enable advanced analytics and AI
- Lead the support and resolution of Tier 2/3 platform issues performing deep log debugging and ensuring production stability
- Oversee integration and monitoring of Informatica Cloud (IICS) Secure Agents APIs and complex data pipeline architectures
- Implement robust IAM network security audit logging and compliance controls in accordance with FedRAMP and regulated environment standards
Required Skills and Experience
- 8 years hands-on expertise in multi-cloud platforms especially Azure and GCP
- Advanced experience with GenAI and enterprise AI platforms including Gemini and Vertex AI
- Proficiency in Azure Monitor Log Analytics GCP Cloud Monitoring and logging frameworks
- Strong knowledge of Logstash for proactive monitoring and alerting
- Demonstrated ability to design alerting solutions using Twilio for ETL and operational notifications
- Deep experience with Blob Storage Data Lakes and structured storage for analytics/AI workloads
- Proven track record supporting data pipelines data platforms and analytics workloads in large enterprise settings
- Experience with Informatica Cloud (IICS) Secure Agents APIs and integration patterns
- Advanced implementation of IAM network security audit logging and compliance in regulated environments
- Solid experience supporting Tier 2/3 issues debugging logs and maintaining platform stability
Preferred Skills
- Familiarity with Tableau Cloud environment management
- Experience integrating ArcGIS or geospatial data systems with cloud platforms
- Scripting skills in Python or Bash and automation using serverless technologies or CI/CD pipelines
- Exposure to GKE AKS Docker and microservices architectures
- Understanding of data mesh ETL/ELT architectures API integrations and enterprise data standards
- Analytical thinking for rapid issue resolution and architectural decision-making in high-pressure scenarios
- Ownership mindset for platform delivery proactive risk identification and driving outcomes
- Ability to translate technical concepts for business stakeholders and engage cross-functional teams
- Leadership in aligning engineering data infrastructure and business initiatives
Benefits
- Competitive hourly pay within a high-performing collaborative environment
- Direct impact on enterprise cloud architecture and AI initiatives
- Exposure to cutting-edge multi-cloud and AI technologies
- Career growth through complex project ownership and cross-team leadership
- Opportunity to drive innovation and shape cloud strategy in a regulated industry
How to Apply
Ready to architect the future of cloud and AI platforms Submit your resume and a brief cover letter outlining your relevant experience.
Location: Austin TX 78751 Pay Rate: $86-96/hr
Experience: 8 10 Years Skills: Azure GCP
About the Role
Join a high-impact team as a Cloud Architect leading enterprise-wide cloud computing initiatives in a regulated multi-cloud environment. You will architect engineer and optimize scalable cloud infrastructure and applications supporting mission-critical AI and data platforms. This is an opportunity to solve complex challenges drive innovation and ensure reliability security and compliance across major cloud platforms.
Responsibilities
- Architect and implement multi-cloud solutions spanning Azure and GCP for enterprise-scale applications and data/AI workloads
- Direct and support a cloud brokering team ensuring secure reliable and compliant operations across 24 7 environments
- Design and manage monitoring solutions using Azure Monitor Log Analytics GCP Cloud Monitoring and logging frameworks
- Integrate and optimize log ingestion and alerting workflows with Logstash Twilio and advanced notification systems for ETL and operational events
- Engineer and maintain scalable storage systems (Blob Storage Data Lakes structured storage) to enable advanced analytics and AI
- Lead the support and resolution of Tier 2/3 platform issues performing deep log debugging and ensuring production stability
- Oversee integration and monitoring of Informatica Cloud (IICS) Secure Agents APIs and complex data pipeline architectures
- Implement robust IAM network security audit logging and compliance controls in accordance with FedRAMP and regulated environment standards
Required Skills and Experience
- 8 years hands-on expertise in multi-cloud platforms especially Azure and GCP
- Advanced experience with GenAI and enterprise AI platforms including Gemini and Vertex AI
- Proficiency in Azure Monitor Log Analytics GCP Cloud Monitoring and logging frameworks
- Strong knowledge of Logstash for proactive monitoring and alerting
- Demonstrated ability to design alerting solutions using Twilio for ETL and operational notifications
- Deep experience with Blob Storage Data Lakes and structured storage for analytics/AI workloads
- Proven track record supporting data pipelines data platforms and analytics workloads in large enterprise settings
- Experience with Informatica Cloud (IICS) Secure Agents APIs and integration patterns
- Advanced implementation of IAM network security audit logging and compliance in regulated environments
- Solid experience supporting Tier 2/3 issues debugging logs and maintaining platform stability
Preferred Skills
- Familiarity with Tableau Cloud environment management
- Experience integrating ArcGIS or geospatial data systems with cloud platforms
- Scripting skills in Python or Bash and automation using serverless technologies or CI/CD pipelines
- Exposure to GKE AKS Docker and microservices architectures
- Understanding of data mesh ETL/ELT architectures API integrations and enterprise data standards
- Analytical thinking for rapid issue resolution and architectural decision-making in high-pressure scenarios
- Ownership mindset for platform delivery proactive risk identification and driving outcomes
- Ability to translate technical concepts for business stakeholders and engage cross-functional teams
- Leadership in aligning engineering data infrastructure and business initiatives
Benefits
- Competitive hourly pay within a high-performing collaborative environment
- Direct impact on enterprise cloud architecture and AI initiatives
- Exposure to cutting-edge multi-cloud and AI technologies
- Career growth through complex project ownership and cross-team leadership
- Opportunity to drive innovation and shape cloud strategy in a regulated industry
How to Apply
Ready to architect the future of cloud and AI platforms Submit your resume and a brief cover letter outlining your relevant experience.