Solicitation number: 529701735.
Title: Cloud Solutions Architect 3.
Working title: Cloud Solutions Architect 3.
Category: Applications/Software Development.
Work type: Full time, hybrid.
Location: 701 W. 51st St., Austin, TX 78751.
Schedule: 3 days remote, 2 days onsite on Mondays and Wednesdays (subject to change).
Local candidates only: Must already reside in Texas and be within a 50-mile radius of Austin.
Start date: September 1, 2026.
End date: August 31, 2027.
Estimated hours: 2,008 hours.
Contract renewals: Up to 3 one-year renewals.
requires the services of 1 Cloud Solutions Architect 3, hereafter referred to as Candidate(s), who meets the general qualifications of Cloud Solutions Architect 3, Applications/Software Development and the specifications outlined in this document for the Texas Health and Human Services Commission.
All work products resulting from the project shall be considered "works made for hire" and are the property of the Texas Health and Human Services Commission and may include pre-selection requirements that potential Vendors (and their Candidates) submit to and satisfy criminal background checks as authorized by Texas law. Texas Health and Human Services Commission will pay no fees for interviews or discussions, which occur during the process of selecting a Candidate(s).
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.
| Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. | ||
| Years | Required/Preferred | Experience |
| 8 | Required | Multi Cloud Platform Expertise (Azure + GCP) |
| 8 | Required | GenAI & Enterprise AI Platform Knowledge (Gemini, Vertex AI) |
| 8 | Required | Expertise in Azure Monitor, Log Analytics, GCP 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. |
Interview format: In person only.