Cloud Solutions Architect 3 (Contractor)

RESPEC is seeking an experienced Cloud Solutions Architect III to support a large-scale public sector technology initiative focused on cloud infrastructure enterprise data platforms analytics and emerging AI technologies. This is an opportunity to contribute to mission-critical systems that support essential services for millions of citizens while working alongside highly skilled cloud data and application development professionals.

Role Summary

We are seeking a senior-level Cloud Solutions Architect with deep expertise in Azure Google Cloud Platform (GCP) enterprise data ecosystems and AI-enabled cloud this role you will help design support optimize and govern cloud-based platforms that enable data-driven decision making advanced analytics and enterprise application integration.

The ideal candidate combines strategic architecture expertise with hands-on operational support experience. This position requires a strong understanding of cloud observability data integration security compliance and production support within large complex enterprise environments.

Core Responsibilities:

As a Cloud Solutions Architect you will be responsible for architecting and supporting multi-cloud environments across Azure and GCP while ensuring platform reliability scalability security and operational excellence. You will work closely with engineering infrastructure analytics and business stakeholders to deliver cloud solutions that support enterprise data platforms AI initiatives and mission-critical applications.

Responsibilities include designing and maintaining cloud monitoring and observability frameworks implementing alerting and notification solutions supporting enterprise data storage and data lake architectures and providing Tier 2/3 operational support for cloud platforms. You will also contribute to cloud security governance identity and access management compliance initiatives data integration solutions and modernization efforts involving AI and analytics technologies.

The successful candidate will be comfortable troubleshooting production issues analyzing logs and system performance supporting enterprise integrations and collaborating across multiple technical teams to drive continuous platform improvement.

Qualifications :

Required Technical Experience

8 Years of Experience

Candidates must demonstrate at least eight years of professional experience in the following areas:

Designing implementing and supporting enterprise cloud solutions across Microsoft Azure and Google Cloud Platform (GCP)

Supporting enterprise AI and Generative AI platforms including technologies such as Gemini Vertex AI or comparable AI ecosystems

Implementing and managing cloud monitoring observability and logging platforms including Azure Monitor Log Analytics and GCP Cloud Monitoring

Designing log ingestion transformation and analytics solutions using Logstash or similar technologies

Building operational alerting and notification solutions including SMS voice or automated incident notification platforms

Supporting enterprise storage environments including Blob Storage Data Lakes and cloud-based analytics repositories

Developing and supporting enterprise data platforms ETL/ELT processes and analytics workloads

Working with Informatica Intelligent Cloud Services (IICS) Secure Agents APIs integrations and cloud data movement solutions

Implementing Identity and Access Management (IAM) security governance audit logging compliance controls and least-privilege security models

Providing Tier 2 and Tier 3 production support incident management root-cause analysis and operational troubleshooting

Preferred Qualifications

Candidates with experience in the following areas will be highly competitive:

Tableau Cloud administration and support

ArcGIS and geospatial data integrations

Python Bash and scripting-based automation

CI/CD pipelines and infrastructure automation

Docker Kubernetes Azure Kubernetes Service (AKS) and Google Kubernetes Engine (GKE)

Microservices-based architectures

Data mesh frameworks and modern data architecture practices

Enterprise API integration strategies

Cross-functional technical leadership and stakeholder communication

Experience translating complex technical concepts into business-friendly recommendations

Additional Information :

Work Model

This position follows a hybrid work model based in Austin Texas.

Primary Work Location:
701 W. 51st Street
Austin TX 78751

Team members are expected to work onsite two days per week (Monday and Wednesday) and remotely three days per week. Work schedules are generally Monday through Friday 8:00 AM to 5:00 PM Central Time. Occasional evening weekend or holiday support may be required based on project needs.

All your information will be kept confidential according to EEO guidelines.

Remote Work :

No

Employment Type :

Contract