Cloud Solutions Architect 3 (Contractor) 529701735

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 services. In 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.