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19 jobs near Columbus, OH

Data Engineer III

Seattle, WA ยท On-site

$130K - $156K/yr

Our goal is to become quot;The Infrastructure Platform" for the world. The Infrastructure Automation team is responsible for delivering the software that powers our infrastructure. As a Senior DE you ...

Data Engineer III

Seattle, WA

$130K - $156K/yr

Our goal is to become quot;The Infrastructure Platform" for the world The Infrastructure Automation team is responsible for delivering the software that powers our infrastructure. As a Senior DE you ...

Be part of a growing, successful company in an exciting and challenging field. Border States is 100% employee-owned, which means you're empowered to make decisions, find solutions and receive rewards ...

Be part of a growing, successful company in an exciting and challenging field. Border States is 100% employee-owned, which means you're empowered to make decisions, find solutions and receive rewards ...

Job Title: House Manager & Family Assistant Location: Seattle, WA 98119 Employment Type: Part-time (20 hours/week) Schedule: Monday, Wednesday, Friday, flexible between the hours of 8:30 AM - 4:00 PM ...

Senior Cloud Engineer (Cloud & AI Infrastructure) ::Plano TX (Local only) (onsite)

Talent Movers

Plano, TX โ€ข On-site

$53.25 - $71.25/hr

Contractor

Posted 3 days ago


Job description

Senior Cloud Engineer (Cloud & AI Infrastructure)

Plano TX (Onsite) Local onlyย 

Onsite Only [NO REMOTE OPTION]

Job Description:

We are seeking a Senior DevOps Engineer to lead the technical implementation of our Azure Enterprise Landing Zones and AI-ready infrastructure. You will bridge the gap between core cloud architecture and MLOps, ensuring that our AI/ML workloadsโ€”from Azure OpenAI to custom modelsโ€”are deployed onto a secure, high-performance, and fully automated foundation.

## Key Responsibilities

1. Azure Architecture & Landing Zones

? Landing Zone Implementation: Deploy and manage scalable Azure Landing Zones, ensuring enterprise-grade governance, subscription organization, and resource hierarchy.

? Networking & Security: Architect secure Azure Networking (VNet, Peerings, Private Links, Hub-and-Spoke) and implement robust security guardrails via Azure Policy and Azure Active Directory (Entra ID).

2. Containerization & Orchestration

? AKS & Kubernetes: Act as the subject matter expert for Azure Kubernetes Service (AKS), managing cluster lifecycles, namespaces, and pod security policies.

? Docker Expert: Build, optimize, and secure Docker images for microservices and AI model serving.

? Helm Mastery: Utilize Helm Charts for consistent, version-controlled application deployments.

3. Infrastructure as Code (IaC) & Automation

? Terraform Mastery: Develop and maintain modular, enterprise-scale Terraform code to ensure & quot;Everything as Code" for both IaaS (VMs, Network) and PaaS (APIM, Event Hubs).

? CI/CD Governance: Build and optimize sophisticated pipelines using Azure DevOps and GitHub Actions, integrating security scanning and automated testing.

4. AI & MLOps Integration

? AI Workloads: Provision and scale infrastructure for Azure Machine Learning and OpenAI services, specifically managing GPU node pools and model monitoring.

? MLOps Pipelines: Implement deployment workflows for AI models, focusing on model performance tracking and automated drift detection.

5. Observability & Operations

? Monitoring: Lead environmental instrumentation using Azure Monitor, Log Analytics, and Application Insights.

? FinOps: Monitor and optimize cloud spend with custom cost-tracking and alerting for high-compute AI resources.

## Technical Requirements

? 6+ Years in DevOps/Cloud: Deep experience with Azure IaaS and PaaS.

? IaC Specialist: Advanced proficiency in Terraform for multi-region deployments.

? K8s Expert: Hands-on experience with Docker, Kubernetes (AKS), and ingress controllers.

? Automation Lead: Expert in Azure DevOps and/or GitHub Actions for CI/CD.

? Networking Guru: Strong understanding of Azure VNet, Firewall, and Load Balancing.

? AI Aware: Exposure to deploying and managing AI/ML workloads on Azure