Cloud Architect
On-site · Austin, Texas, United States
Austin, Texas, United StatesOn-siteFull TimeSenior LevelNot SpecifiedUnknown
Type
Full Time
Level
Senior Level
Education
Not Specified
Company size
Unknown
Job Summary
Cloud Architect to lead cloud initiatives across Azure and GCP, overseeing design, implementation, monitoring, security and operational stability of cloud platforms, data ecosystems and AI-enabled solutions; collaborate with engineering, infrastructure, data and business stakeholders to ensure reliability, scalability and performance in regulated environments; focus on enterprise data platforms, AI/GenAI technologies, cloud monitoring, security and compliance; hands-on experience with Logstash, IAM, FedRAMP, Tableau Cloud, ArcGIS, and scripting in Python/Bash; experience with Terraform or containerized microservices is expected; strong leadership and communication across engineering, infrastructure, data and business teams.
Required Qualifications
- Strong expertise in multi-cloud environments (Azure and Google Cloud Platform)
- Experience designing and supporting enterprise cloud infrastructure, applications and platform services
- Knowledge of SaaS, PaaS and IaaS architectures
- Experience with Generative AI and enterprise AI platforms, including Gemini and Vertex AI
- Hands-on experience supporting enterprise data platforms, analytics environments and data pipelines
- Experience with Blob Storage, Data Lakes and structured storage solutions
- Familiarity with data mesh architectures, ETL/ELT frameworks, API integrations and enterprise data standards
- Expertise with Azure Monitor, Log Analytics, GCP Cloud Monitoring and enterprise logging frameworks
- Experience with Logstash for log ingestion, transformation, monitoring and alerting
- Ability to design and implement alerting solutions using Twilio
- Strong experience supporting production environments and Tier 2/Tier 3 operational support
- Experience with Informatica Cloud (IICS), Secure Agents, APIs and integration patterns
- Experience building and managing Tableau Cloud environments
- Familiarity with ArcGIS and geospatial data integrations
- Strong knowledge of Identity and Access Management (IAM), least-privilege security models, network security, audit logging and compliance requirements within regulated environments
- Experience supporting FedRAMP or similarly regulated cloud environments
- Proficiency in scripting and automation using Python and Bash
- Experience with serverless technologies and CI/CD pipelines
- Exposure to Docker, Kubernetes, GKE, AKS and microservices architectures
- Strong analytical and problem-solving capabilities with the ability to make sound architectural decisions under pressure
- Demonstrated ownership and accountability for platform stability, reliability and delivery outcomes
- Excellent communication skills with the ability to translate technical concepts into business-friendly language
- Proven leadership and stakeholder management experience across engineering, infrastructure, data and business teams
Desired Qualifications
- Strong expertise in multi-cloud environments (Azure and Google Cloud Platform)
- Experience designing and supporting enterprise cloud infrastructure, applications and platform services
- Knowledge of SaaS, PaaS and IaaS architectures
- Experience with Generative AI and enterprise AI platforms (Gemini and Vertex AI)
- Hands-on experience supporting enterprise data platforms, analytics environments and data pipelines
- Experience with Blob Storage, Data Lakes and structured storage solutions
- Familiarity with data mesh architectures, ETL/ELT frameworks, API integrations and enterprise data standards
- Expertise with monitoring and logging (Azure Monitor, Log Analytics, GCP Cloud Monitoring, enterprise logging frameworks)
- Experience with log ingestion/transform/alerting (Logstash)
- Ability to design and implement alerting solutions (Twilio)
- Strong experience supporting production environments and Tier 2/3 operational support
- Experience with Informatica Cloud (IICS), Secure Agents, APIs and integration patterns
- Experience building and managing Tableau Cloud environments
- Familiarity with ArcGIS and geospatial data integrations
- Strong knowledge of IAM, least-privilege security models, network security, audit logging and compliance in regulated environments
- Experience supporting FedRAMP or similarly regulated cloud environments
- Proficiency in scripting and automation using Python and Bash
- Experience with serverless technologies and CI/CD pipelines
- Exposure to Docker, Kubernetes, GKE, AKS and microservices architectures
- Strong analytical and problem-solving capabilities with the ability to make sound architectural decisions under pressure
- Demonstrated ownership and accountability for platform stability, reliability and delivery outcomes
- Excellent communication skills with the ability to translate technical concepts into business-friendly language
- Proven leadership and stakeholder management experience across engineering, infrastructure, data and business teams
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