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Sr. Platform Engineer

RIIMUnited States🇺🇸United StatesPosted Oct 13, 2026

Why This Role Stands Out

Advance your career in platform engineering with RIIM, where you'll shape enterprise-scale infrastructure using cutting-edge cloud and automation technologies within a collaborative hybrid environment. If you have extensive experience with multi-cloud platforms, Infrastructure-as-Code, and CI/CD, you'll thrive in this role that offers significant opportunities for growth and impact. Apply today to join a leading company and contribute to innovative solutions!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
20 hours ago
AWSSplunkAnsibleAzureBashDNSDatabricksDatadogGitHub ActionsGoogle CloudGrafanaJenkinsKubernetesPowerShellPythonRESTTerraformVMware

Job Description

  • 8+ years supporting enterprise-scale infrastructure and multi-cloud hyperscalers (e.g. Azure, AWS, Google Cloud Platform).
  • 5+ years working with Terraform and advanced understanding of Infrastructure-as-Code methodologies.
  • Deep experience designing, building, and operating CI/CD pipelines and GitOps workflows using GitHub Actions, Jenkins, and enterprise source control platforms to enable automated, secure, and scalable infrastructure and application delivery.
  • Experience building automation using Ansible, Bash, PowerShell, Python scripting, and REST APIs.
  • Experience with cloud governance, policy management, and FinOps practices.
  • Understanding of cloud networking, DNS, cloud-enabled identity services, security controls, and hybrid connectivity.
  • Hands-on experience with Azure Monitor, Log Analytics, Application Insights, Grafana, Datadog, Splunk, or similar observability platforms.
  • Familiarity with Internal Developer Platforms (IDP).

Preferred 

  • Experience with VMware Cloud Foundation (VCF), vSphere, and hybrid cloud architectures.
  • Azure/AWS Solutions Architect or cloud-related certifications.
  • HashiCorp Terraform Associate or Advanced certifications.
  • Hands-on experience with Kubernetes, AKS, EKS, or OpenShift.
  • Experience with Databricks infrastructure, AI platform hosting, or enterprise data platforms.
  • Experience integrating AIOps, observability, or monitoring platforms.

 

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