Cloud Solutions Architect 3

HonorVet Technologies. We're a veteran-owned IT staffing firm, ISO 9001 and ISO 27001 certified, working with federal agencies, state governments, and Fortune 500 enterprise clients across the US. What makes us different isn't a tagline; it's the way we work. We don't forward resumes and hope for the best. We take the time to understand where a professional like you is headed and only reach out when we genuinely believe there's a fit worth exploring.

Job Title: Cloud Solutions Architect (Level 3)
Location: Austin, TX (Hybrid - 2 days onsite: Monday & Wednesday)
Duration: 12 Months
Local candidates preferred (Austin metro area)Job Summary
We are seeking a highly experienced Cloud Solutions Architect to lead enterprise cloud architecture, platform engineering, and modernization initiatives across a multi-cloud environment.
This role is responsible for designing, implementing, and supporting scalable cloud infrastructure and applications across Azure and GCP. The architect will support data platforms, AI/GenAI workloads, integrations, monitoring frameworks, and production operations in a highly secure, regulated enterprise environment.
The ideal candidate will have strong experience across cloud architecture, data engineering platforms, observability, security compliance, and enterprise integration patterns.Key Responsibilities

• Design and implement scalable cloud architecture across multi-cloud environments (Azure and GCP).
• Lead cloud infrastructure planning, engineering, and architecture for enterprise applications and data platforms.
• Support AI and GenAI platforms including enterprise LLM, vector-based, and analytics workloads.
• Build and maintain monitoring, logging, and alerting frameworks using tools such as Azure Monitor, Log Analytics, and GCP Cloud Monitoring.
• Implement log ingestion and transformation pipelines using tools such as Logstash.
• Design and implement alerting solutions for operational and ETL failures using messaging and notification systems (SMS/voice/email).
• Architect and support data platforms including blob storage, data lakes, and structured/unstructured data environments.
• Support enterprise data pipelines, ETL/ELT workflows, and integration architectures.
• Work with integration platforms such as Informatica Cloud (IICS), secure agents, and APIs.
• Implement security controls including IAM, least privilege access, network security, audit logging, and compliance requirements.
• Support production environments, including Tier 2/Tier 3 incident troubleshooting and resolution.
• Ensure system reliability, performance, scalability, and operational stability.
• Collaborate with engineering, infrastructure, and business teams to deliver platform solutions.
• Provide technical leadership and architectural guidance for enterprise initiatives.
• Translate complex technical solutions into business-friendly communication for stakeholders and leadership.

Required Qualifications

• 8 years of experience in cloud architecture or cloud engineering roles.
• Strong experience with multi-cloud platforms (Azure and Google Cloud Platform).
• Experience with enterprise monitoring and logging tools (Azure Monitor, Log Analytics, GCP Cloud Monitoring).
• Hands-on experience with log processing and ingestion frameworks (e.g., Logstash).
• Experience designing alerting and notification systems for operational monitoring.
• Strong experience with data platforms including data lakes, blob storage, and analytics environments.
• Experience supporting enterprise data pipelines and integration systems.
• Strong understanding of IAM, security architecture, compliance, and access control frameworks.
• Experience supporting production systems and resolving Tier 2/3 issues in enterprise environments.
• Strong troubleshooting, debugging, and incident resolution skills in cloud environments.

Preferred Qualifications

• Experience with GenAI platforms such as Gemini, Vertex AI, Azure OpenAI, or similar technologies.
• Experience building or supporting Tableau Cloud environments.
• Experience with geospatial or mapping data integrations (e.g., ArcGIS).
• Experience with scripting languages such as Python or Bash.
• Experience with automation tools, CI/CD pipelines, serverless architecture, or infrastructure-as-code.
• Experience with Kubernetes (GKE, AKS), Docker, and microservices architectures.
• Experience with data mesh, ETL/ELT pipelines, and API-based integration patterns.
• Strong analytical and architectural decision-making skills in high-pressure environments.
• Ability to own platform stability, reliability, and delivery end-to-end.
• Strong communication skills with ability to translate technical concepts into business language.
• Experience collaborating across engineering, data, infrastructure, and business teams.