Cloud Solutions Architect Database Engineer AI Platform Architect
Overview
Design and build scalable cloud database security API and AI infrastructure for enterprise applications. Architect backend and AI layers enabling secure efficient consumption of data and business functionality. Translate business requirements into production-ready technical solutions. Lead AI integration ensuring operational reliability.
What You'll Do20
- 1Architect and implement scalable secure highly available cloud environments for enterprise applications
- 2Design backend architecture supporting web applications internal systems integrations and AI-powered solutions
- 3Develop and maintain production database environments including schemas tables relationships stored procedures views indexing strategies and data-access patterns
- 4Optimize SQL Server databases for performance scalability reliability data integrity and security
- 5Establish database standards covering data modeling normalization indexing query optimization auditing backup recovery and disaster recovery
- 6Design and develop secure RESTful APIs and backend services using C# ASP.NET Core and .NET technologies
- 7Define API contracts request response models validation standards error handling versioning documentation and integration patterns
- 8Implement authentication and authorization solutions using OAuth 2.0 OpenID Connect JWT SSO RBAC and enterprise identity providers
- 9Design and enforce application and API security standards including SSL/TLS encryption secrets management certificate management secure configuration and least-privilege access
- 10Implement secure communication between cloud services databases APIs external systems AI services and front-end applications
- 11Design cloud networking infrastructure including application hosting databases storage identity networking firewalls gateways load balancing monitoring logging and availability strategies
- 12Develop integration architectures for internal systems third-party applications vendor APIs and enterprise platforms
- 13Design data pipelines ETL processes transformation services and system-to-system integrations
- 14Establish logging monitoring auditing alerting and observability standards across backend services and cloud infrastructure
- 15Create scalable architectures supporting increasing users transaction volumes data volumes integrations AI workloads and application workloads
- 16Implement caching asynchronous processing queues background services and distributed architecture patterns
- 17Develop and maintain CI/CD pipelines and infrastructure deployment processes
- 18Collaborate with business stakeholders translate requirements into technical and AI architectures
- 19Conduct architecture code reviews establish backend database API cloud security and AI development standards
- 20Provide technical leadership mentoring developers on architecture code reviews and best practices
Requirements5
- 15+ years building ETL pipelines with Spark and Airflow
- 2experience with Azure OpenAI Anthropic Google AI or comparable LLM technologies
- 3hands-on experience building production AI applications using OpenAI Azure OpenAI Anthropic or similar
- 4knowledge of C#/.NET SQL Server database engineering REST APIs application security authentication
- 5background in cloud architecture and large language model platform design
Salary Insight
$150 - $180k per year
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