Cloud Engineer

Location: Hybrid (In-office Tuesday-Thursday) | South Downtown Charlotte, NC

Position Type: Full-Time, Direct-Hire

Target Compensation: $140,

Work Authorization: US Citizen or Green Card Holder Required

Driven by private equity backing and massive organizational scale, our infrastructure team is expanding rapidly. We are seeking a high-velocity, modern Cloud Engineer to join our Charlotte, NC hub.

We operate in a 100% Azure environment with a strong "Dev Ops first" mindset where Infrastructure as Code (IaC) and automation are law
. In this role, you will build out touchless, self-service infrastructure, modernize legacy tech debt, and partner directly with software and data engineering teams to host agentic AI workflows and LLM infrastructure.

If you thrive in high-autonomy settings without rigid playbooks, utilize modern AI coding assistants (Git Hub Copilot, Claude Code, Cursor) to multiply your output, and move fast, this role is built for you.

• Scale & Velocity: Move fast with direct PE funding behind modernizing platforms, scaling AKS, and building touchless developer environments.
• Cutting-Edge AI Infrastructure: Active deployment of agentic AI frameworks, hosting ChatGPT/LLM integrations, and supporting Microsoft Foundry services on Azure Kubernetes Service (AKS).
• Major Initiatives: Play a core role in our multi-year Data Platform migration-connecting traditional database infrastructure into a modernized Snowflake Data Lake ecosystem on Azure.
• Modern Developer Toolkit: Enterprise access to Git Hub Copilot, LLM tools, and AI coding agents to automate workflows and accelerate platform delivery.

• Infrastructure as Code & Automation: Drive automated, touchless infrastructure deployment using Terraform (and Azure Bicep / ARM templates). Write Python and Power Shell scripts to orchestrate cloud operations.
• AKS & Modern Platform Operations: Administer and scale Azure Kubernetes Service (AKS) clusters to support application workloads, microservices, and AI/agentic bots.
• AI & Data Platform Support: Partner with Data Engineering to integrate Azure services with our Snowflake Data Lake. Build and secure infrastructure designed to host LLMs, AI agents, and automated workflows.
• Identity, Access & Security: Manage Microsoft Entra  (Azure AD), SSO, RBAC, and API Management (APIM), embedding security guardrails directly into IaC automation modules.
• CI/CD & Developer Enablement: Support and enhance CI/CD pipelines across Azure Dev Ops and Git Hub Actions to move the organization toward true self-service platform engineering.
• Fin Ops & Cost Governance: Implement tagging standards, cost-allocation monitoring, and resource optimization across our Azure footprint.

• Azure Expertise: Mid-level (4+ years) hands-on engineering experience in pure Azure production environments (compute, storage, networking integrations, managed services).
• Heavy IaC & Scripting Focus: Proven expertise building and managing production environments with Terraform
  ; strong automation capabilities in Power Shell or Python.
• Kubernetes (AKS): Operational experience managing Azure Kubernetes Service (upgrades, scaling, ingress, and cluster lifecycle).
• Identity & API Management: Experience managing Microsoft Entra , RBAC, SSO, and Azure API Management.
• Adaptability & Drive: High-velocity problem solver who can navigate ambiguity, figure things out independently, and deliver measurable sprint goals without relying on step-by-step manuals.
• Status: Must be a US Citizen or Green Card holder.

• Experience leveraging modern AI tools (Git Hub Copilot, Claude Code, Agentic workflows) in day-to-day engineering.
• Familiarity with Snowflake, PostgreSQL, or SQL Server data integration into Azure.
• Azure Certifications (e.g., Azure Administrator Associate, Azure Solutions Architect).

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