Multi Cloud Architect(Azure/Google Cloud Platform)

Hybrid in Austin, TX, US • Posted 2 days ago • Updated 2 days ago
Contract Independent
Contract Corp To Corp
Contract W2
12 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Multi Cloud Platform Expertise (Azure + GCP)
  • GenAI & Enterprise AI Platform Knowledge (Gemini/ Vertex AI)
  • Azure Monitor/ Log Analytics/ GCP Cloud Monitoring and logging frameworks
  • Informatica Cloud (IICS)/ Secure Agents/ APIs/ integration patterns
  • Blob Storage/ Data Lakes/AI workloads
  • GKE/ AKS/ Docker and microservices architectures

Summary

DirectClient: Texas Health and Human Services Commission(HHSC)
Solicitation Number: 529701735
Title: Cloud Architect
Location: 701 W. 51st Street, Austin, TX 78751
Duration: 9/1/2026 -  8/31/202 with possible extension
Last date for submission: June 18, 2026 (2.00 PM-CST)
 
Important Note: Position will be 3 days remote with 2 days (Mon & Wed) required to be onsite. In-person interview mandatory. Texas local candidates only.

DESCRIPTION OF SERVICES:
The cloud architect is responsible for the cloud computing initiatives within an organization and for directing the architectural aspects of a cloud brokering team across all aspects of IT and the business. Responsible for the planning and engineering of an organization''s cloud computing infrastructure and applications. Implements and designs hardware and software. Familiar with standard concepts, practices, and procedures of cloud technology, including Software as Service (SaaS), Platform as Service (PaaS), or Infrastructure as a Service (IaaS).

Supports a regulated, multi-cloud enterprise environment, requiring expertise in data/AI platforms, vendor coordination, monitoring, and 24×7 operations, while ensuring security, compliance, and system reliability.

CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements:
Years    Required/Preferred    Experience
8    Required    Multi Cloud Platform Expertise (Azure + Google Cloud Platform)
8    Required    GenAI & Enterprise AI Platform Knowledge (Gemini, Vertex AI)
8    Required    Expertise in Azure Monitor, Log Analytics, Google Cloud Platform Cloud Monitoring, and logging frameworks to track performance, reliability, and usage.
8    Required    Experience using Logstash for log ingestion, transformation, and integration with Azure Log Analytics for proactive monitoring and alerting
8    Required    Ability to design alerting solutions using Twilio (SMS/voice) for ETL failures and operational notifications.
8    Required    Experience with Blob Storage, Data Lakes, and structured storage systems enabling analytics and AI workloads.
8    Required    Hands-on experience supporting data pipelines, data platforms, and analytics workloads in enterprise environments
8    Required    Experience with Informatica Cloud (IICS), Secure Agents, APIs, and integration patterns, including handling monitoring and integration challenges.
8    Required    Strong implementation of IAM (least privilege), network security, audit logging, and compliance (FedRAMP/regulated env.).
8    Required    Ability to support Tier 2/3 issues, debug logs, resolve platform access issues, and maintain stability in production environments
3    Preferred    Familiarity building and managing Tableau Cloud environments
3    Preferred    Experience integrating ArcGIS or geospatial data systems with cloud data platforms.
3    Preferred    Knowledge of scripting (Python, Bash) and automation (serverless, CI/CD pipelines). [https://ou...essageItem | Outlook]
3    Preferred    Exposure to GKE, AKS, Docker, and microservices architectures.
3    Preferred    Familiarity with data mesh, ETL/ELT architectures, API integrations, and enterprise data standards.
3    Preferred    Strong analytical thinking to assess platform issues, make timely architectural decisions, and drive resolution in high-pressure environments.
3    Preferred    Ability to take end-to-end ownership of platform stability, reliability, and delivery, proactively identifying risks and driving outcomes
2    Preferred    Ability to clearly translate complex technical concepts into business-friendly language and actively engage with stakeholders, leadership, and end users
2    Preferred    Proven ability to lead and coordinate across engineering, data, infrastructure, and business teams, ensuring alignment and delivery of platform initiatives.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10283077
  • Position Id: 529701735
  • Posted 2 days ago
Contact the job poster
Anki Kantheti

Anki Kantheti

Recruitment Lead @ Bansar Technologies Inc.
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