Dieses Stellenangebot ist nicht mehr verfügbar
Über
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.
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.