Data, AI & Network Integration Engineer
Offre en anglaisThis role manages the full lifecycle of data, including on-premise SQL Server maintenance, Azure cloud integration, and AI service deployment. It also involves overseeing Cisco-based network infrastructure to ensure secure, low-latency connectivity between data centers and the cloud.
- Sur place
- Canada
- Publié 14 août 2026
- 1 poste
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Résumé du poste
We are seeking an exceptionally skilled Data, AI & Network Integration Engineer for a critical hybrid role at our Samoa, CA location. This position is responsible for the full lifecycle of our data—from ensuring the performance and security of on-premise SQL Server environments to engineering high-speed data pipelines into Azure and integrating that data with Azure AI and Machine Learning services. A key component of this role is managing the Cisco-based network infrastructure that ensures reliable, low-latency connectivity between our on-premise data centers and the Azure cloud. The ideal candidate has a background in database management or full-stack development with broad skills in cloud integration, network automation, and applied AI. Job Specific Responsibilities: * Configure and maintain network connectivity (e.g. Azure ExpressRoute, VPNs, Cisco routers/switches) to ensure seamless data flow between on-premise systems and cloud services. * Design, build, and maintain integrations with Azure AI Services (e.g., Azure OpenAI, Cognitive Search) and manage the underlying network security protocols. * Install, configure, maintain, and tune MS SQL Server databases; monitor network bandwidth and latency to optimize database synchronization and AI inference speeds. * Utilize Cisco DevNet principles, PowerShell, and Python to automate network provisioning, data preparation, and AI service monitoring. * Manage database security, network Access Control Lists (ACLs), and data masking; implement AI-driven threat detection to monitor for anomalies across both data and network layers. * Develop, test, and refine prompts for generative AI and Large Language Models (LLMs) to ensure accurate and consistent outputs for business applications. * Collaborate with data scientists to cleanse and structure datasets for ML model training, optimizing data placement across the network to minimize latency. * Write unit/integration tests and perform network failover testing to ensure total system resilience and high availability. * Set Up, manager and monitor data pipelines between on-premise systems and Azure, managing the underlying Cisco network fabric. * Support development teams by reviewing database and network interaction code (primarily .NET C#, with exposure to Python). * Create and maintain detailed documentation of data flows, network architectures, and AI Integrations. * Conform with and abide by all regulations, policies, work procedures, and instructions. * All other tasks as assigned by the company. Knowledge, Skill & Experience: Required: * 3-5+ years of experience as a Microsoft SQL Server DBA and/or Strong proficiency in C# and the .NET ecosystem * Cisco Networking: Proven experience with Cisco routing, switching and hybrid cloud connectivity. * Azure AI Expertise: Hands-on experience integrating with Azure AI Services and OpenAI. * Database Mastery: Strong proficiency in writing and optimizing complex T-SQL and stored procedures. * AI Techniques: Demonstrable experience with prompt engineering and data preparation for ML models. * Automation: Solid experience using PowerShell or Python for infrastructure and database automation. Preferred Qualifications: * Certifications: Cisco CCNA/DevNet or Microsoft Azure DP-300/AI-102. * High Availability: Experience with SQL Server Always On Availability Groups and Cisco hardware redundancy. * Data Tools: Experience with Azure Data Factory or SSIS for hybrid data integration. * Education: Bachelor's degree in computer science, Information Technology or equivalent experience. Typically Monday - Friday 7:30am - 4:00pm in office
Ce que vous ferez
This role manages the full lifecycle of data, including on-premise SQL Server maintenance, Azure cloud integration, and AI service deployment. It also involves overseeing Cisco-based network infrastructure to ensure secure, low-latency connectivity between data centers and the cloud.
Exigences
Candidates must have 3-5+ years of experience as a Microsoft SQL Server DBA or strong proficiency in C# and the .NET ecosystem. Proven expertise in Cisco networking, Azure AI services, and automation scripting with PowerShell or Python is required.
Compétences indiquées
- Apprentissage automatiqueSouhaitée
- .NETSouhaitée
- C++Souhaitée
- PythonSouhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- SQL Server
- Azure AI
- Cisco Networking
- C#
- .NET
- T-SQL
- PowerShell
- Python
- Prompt Engineering
- Machine Learning
- Azure ExpressRoute
- Network Automation
- Database Management
- Data Pipelines
- Cloud Integration
- Azure OpenAI
- Microsoft Azure Expressroute
- Large Language Modeling
- Full Stack Development
- Cloud Services
- Network Infrastructure
- Hybrid Cloud Computing
- Generative Artificial Intelligence
- Azure Data Factory
- Threat Detection
- AI/ML Inference
- Resilience
- Data Preprocessing
- Machine Learning Model Training
- Cisco Routers Switches
- .NET Framework
- Advanced Cardiovascular Life Support (ACLS) Certification
- Artificial Intelligence
- Automation
- Microsoft Azure
- C# (Programming Language)
- Cisco Certified Network Associate
- Cisco Hardwares
- Textiles
- Computer Science
- Information Technology
- Data Centers
- Dataflow
- Data Integration
- Data Masking
- Database Administration
- Database Security
- Database Tuning
- Failover Testing
- Virtual Private Networks (VPN)
Domaines d’emploi
- Technology
- Data & Analytics
- Software
- Engineering
- Security & Safety
- Network Integration Engineer
- Artificial Intelligence Engineer (General)
- Software Developers
Renseignements supplémentaires
- Formation minimale
- Baccalauréat
- Expérience minimale
- 5+ ans
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine