FoxFarm Soil & Fertilizer Company is are seeking an exceptionally skilled Data, AI & Network Integration Engineer for a critical in-person role at our Samoa, CA location.
Please review Samoa, CA location prior to applying as you will be expected to be in-office.
This non-exempt (hourly) 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.
Key Responsibilities:
- Network & Connectivity: 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.
- AI Integration: Design, build, and maintain integrations with Azure AI Services (e.g., Azure OpenAI, Cognitive Search) and manage the underlying network security protocols.
- Management & Performance: Install, configure, maintain, and tune MS SQL Server databases; monitor network bandwidth and latency to optimize database synchronization and AI inference speeds.
- Infrastructure Automation: Utilize Cisco DevNet principles, PowerShell, and Python to automate network provisioning, data preparation, and AI service monitoring.
- Security & Compliance: 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.
- Prompt Engineering: Develop, test, and refine prompts for generative AI and Large Language Models (LLMs) to ensure accurate and consistent outputs for business applications.
- ML Data Preparation: Collaborate with data scientists to cleanse and structure datasets for ML model training, optimizing data placement across the network to minimize latency.
- Testing & Quality: Write unit/integration tests and perform network failover testing to ensure total system resilience and high availability.
Integration & Business Analysis
- Cloud Integration: Set up, manage, and monitor data pipelines between on-premise systems and Azure, managing the underlying Cisco network fabric.
- Development Support: Support development teams by reviewing database and network interaction code (primarily .NET C#, with exposure to Python).
- Documentation: Create and maintain detailed documentation of data flows, network architectures, and AI integrations.
Required Qualifications
- 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.
Pay: $80,000.00 - $120,000.00 per year
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Employee assistance program
- Employee discount
- Health insurance
- Life insurance
- Paid time off
- Retirement plan
- Vision insurance
People with a criminal record are encouraged to apply
Work Location: In person
