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Azure Site Reliability Engineer; SRE

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Veriipro
Full Time position
Listed on 2026-06-24
Job specializations:
  • IT/Tech
    SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, Systems Engineer, Azure
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Azure Site Reliability Engineer (SRE)

We are looking for a highly skilled Azure Site Reliability Engineer (SRE) to join our team. The ideal candidate will be responsible for ensuring reliability, scalability, and performance of cloud infrastructure and applications deployed on Azure and other platforms. This role requires strong hands‑on experience with deployment automation, container orchestration, and Dev Ops tools.

Roles & Responsibilities
  • Implement and manage CI/CD pipelines using Git Hub Actions.
  • Maintain, upgrade, and manage Artifactory repositories; ensure best practices in artifact management.
  • Deploy, manage, and troubleshoot containerized applications using Kubernetes and Docker.
  • Work with deployment tools like uDeploy and Harness for automated releases.
  • Support multiple platforms including OCP (Open Shift), Azure, PCF (Pivotal Cloud Foundry), and other cloud environments.
  • Develop automation scripts using scripting languages to improve reliability and efficiency.
  • Collaborate with cross-functional teams while also being able to work independently.
Required Skills
  • Hands‑on experience with Azure cloud services.
  • Experience with CI/CD pipelines (Git Hub Actions, Jenkins).
  • Strong knowledge of Kubernetes, Docker, and containerized application deployment.
  • Experience managing Artifactory repositories and builds.
  • Familiarity with deployment automation tools like uDeploy or Harness.
Preferred Skills
  • Python or Shell scripting for automation.
  • Experience with multiple cloud platforms (OCP, PCF) is a plus.
  • Strong troubleshooting, monitoring, and observability experience.
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