Azure Cloud Engineer: AKS, IaC & Automation

Optomi; Charlotte (NC); Vor Ort; USD 110.000 - 165.000; Vollzeit

Benefits dieser Stelle

Medical insurance

Dental insurance

Vision insurance

401(k) with 6% employer match

PTO

HSA contributions

Career development

Fitness reimbursement

Zusammenfassung

Optomi, in partnership with a leading wealth management company, is seeking a hands‑on Azure Cloud Engineer to manage and optimize its cloud infrastructure. The role focuses on Azure platform operations, AKS, IaC, automation, security, monitoring, and cost governance.

The engineer will collaborate with Network, Security, Application, and Data Engineering teams to deliver scalable cloud solutions and drive reliability across production environments.

Qualifikationen

• 4+ years of hands-on cloud engineering experience in Azure.
• Proficiency with Terraform and PowerShell and/or Python.
• Experience with CI/CD pipelines, Azure DevOps, and cloud monitoring.
• Understanding of Azure networking, identity, security, and cloud operations.

Aufgaben

• Manage and troubleshoot Azure cloud infrastructure for reliability, performance and security.
• Administer AKS including cluster upgrades, scaling and maintenance.
• Develop IaC using Terraform and Bicep.
• Automate cloud operations using PowerShell and/or Python.
• Support CI/CD pipelines through Azure DevOps and GitHub Actions.
• Implement monitoring using Azure Monitor, Log Analytics, and Grafana.
• Support identity management and security through Entra ID.

Kenntnisse

Azure

Terraform

PowerShell

Python

Azure DevOps

AKS

GitHub Actions

Monitoring & Security

Tools

Grafana

Bicep

Snowflake

SQL Server

PostgreSQL

Jobbeschreibung

Optomi, in partnership with a leading wealth management company, is seeking a hands‑on Azure Cloud Engineer to manage and optimize its cloud infrastructure. The role focuses on Azure platform operations, AKS, IaC, automation, security, monitoring, and cost governance.

The engineer will collaborate with Network, Security, Application, and Data Engineering teams to deliver scalable cloud solutions and drive reliability across production environments.