Job Description
Cloud Engineer at Motion Recruitment Cloud Engineer at Motion Recruitment in Grand Prairie, Texas Posted in 2 days ago.
Type:
full-time Job Description:
Job Description Job Title:
Azure Systems Operations Engineer & Automation / Agentic AI Developer / IE4 - AI Azure Locations:
Irving, TX | Charlotte, NC | Chandler, AZ Job Type:
12 months contract with possible ext Position Overview In this contingent resource assignment, you may: Consult as an expert to develop or influence initiatives and resources for highly complex business and technical needs across Engineering. Consult on the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, and advanced analytical and inductive thinking. Provide expertise to client senior leadership on innovative Engineering business solutions. Strategically engage with client personnel. This role is focused on advanced Azure Systems Operations Engineering combined with Automation Engineering and Agentic AI Development for Azure operational workflows. Key Responsibilities Roles and Responsibilities:
Design, implement, and operate scalable, secure Azure infrastructures covering Compute, Networking, Storage, Identity, and Monitoring. Diagnose and remediate issues in Azure resources; provide rapid root cause analysis of incidents. Lead configuration and monitoring of AKS, ASE
Platforms, Azure Resource Manager, Bicep/Terraform, VNETs, NSGs, App Gateways, Load Balancers, Managed Identities, Policies, and logging solutions. Develop production-grade Python automation for operational tooling, remediation workflows, and Azure API integrations. Automate compute, network, storage, and identity management via Python using Azure SDK and MCP Servers. Maintain high code quality, unit testing, vulnerability management, and effective documentation. Drive CI/CD automation, containerization, and pipeline deployments using Git workflows and Helm/Containers. Develop and operationalize agentic AI systems for Azure, focusing on deterministic workflows using LangChain, MCP Server, A2A, Google ADK/Agents, etc. Collaborate on cross-functional projects; produce comprehensive technical documentation and communications. Qualifications & Skills:
4-6 years of hands-on Azure engineering & operations experience. 5+ years Python development, including automation for Azure APIs. Expertise in AKS, ASE, ARM/Bicep/Terraform, VNETs, NSGs, App Gateways, Load Balancers, Managed Identities, Azure policies, and monitoring tools. Strong experience with production-quality code, rigorous testing, and documentation. Background in agentic AI/automation:
LangChain, MCP Server, A2A, Google ADK/Agents, etc. Preferred Qualifications Strong systems engineering background Excellent technical communication and documentation skills Experience working with enterprise-scale Azure environments Experience designing operational remediation frameworks Ability to influence senior engineering stakeholders
