DevOps Cloud engineer

Machine Learning Technologies, LLC; Chicago (IL); Presencial; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

Machine Learning Technologies, LLC is seeking a senior Cloud Engineer to lead multi-cloud initiatives across Azure, GCP, and AWS. The role requires strong Terraform expertise and hands-on automation capabilities.

You will implement monitoring with Azure Monitor, Application Insights, Splunk, and Grafana, build self-service platforms with ServiceNow, Python, Logic Apps, and drive CI/CD with GitHub Actions or Azure DevOps.

Formación

• 7+ years of experience working as a Cloud Engineer.
• 6+ years of experience with Terraform.
• Experience with alerting and monitoring platforms (Azure Monitor, Application Insights, Splunk, Grafana).
• Experience building self-service automation platforms (ServiceNow, Python, Azure Automation, Logic Apps).
• General scripting experience (Python, PowerShell, Bash, Azure CLI).
• Knowledge of CI/CD platforms (GitHub Actions preferred, Azure DevOps acceptable).

Conocimientos

Cloud engineering

CI/CD knowledge

Multi-cloud experience

Herramientas

Terraform

Azure Monitor

Application Insights

Splunk

Grafana

ServiceNow

Azure Automation

Logic Apps

Python

PowerShell

Bash

Azure CLI

GitHub Actions

Azure DevOps

Descripción del empleo

• This is for a senior level Cloud Engineer that is open to working in a multi-cloud environment. They are currently utilizing Azure and Google Cloud Platform now and AWS will be coming in the future; see below on required experience:
• 7+ years of experience working as a Cloud Engineer
• 6+ years of experience working with Terraform - Experience with alerting and monitoring platforms such as Azure Monitor, Application Insights, Splunk, or Grafana
• Experience building Self-Service Automation Platforms (ServiceNow, Python, Azure Automation, Logic Apps)
• General scripting experience (Python, PowerShell, Bash, Azure CLI) - Knowledge of CI/CD platforms and their usage (GitHub Actions primarily, Azure DevOps acceptable.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.