Role: Azure Reliability Engineer III
Location: Salisbury, NC & Quincy, MA. 3 days in office per week
Duties & Responsibilities
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Design reusable cloud modules and reference patterns.
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Implement policy enforcement and configuration baselines.
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Enhance observability and SLO/SLA reporting.
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Execute upgrades, patching, and change windows safely.
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Troubleshoot incidents and drive corrective actions.
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Document standards, golden paths, and runbooks.
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Collaborate with platform, security, and product teams.
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May be called upon to support critical escalations and must be available during urgent IT incidents as needed.
Required Qualifications
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Bachelor's degree or equivalent years of work experience.
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5+ years in cloud engineering or platform operations.
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5+ years of experience working on Linux based systems
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5+ years Production experience in Cloud technologies - Azure IaaS, PaaS, networking, Azure functions, Azure automation and runbooks, workbooks, Insights, Security center, Azure Monitor, Log Analytics.
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Hands on experience with IaC tools like ADO, ARM, terraform, ansible, PowerShell, python, azcli, github
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Hands on with automation, IAM, networking, and core cloud services.
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Familiarity with containers/serverless and CI/CD.
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Strong problem solving and communication.
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At least 4 years of hands-on operational experience supporting the following or related experience:
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Azure Virtual Network, VWAN, Express route, Load Balancer (L4/L7), Traffic Manager, CDN, Azure DNS, routing & routing protocols like BGP, firewall concepts
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Azure Identity including any of the following: Azure AD, PIM, Conditional Access, MFA, Azure AD Connect, Password less sign-ins, Microsoft Defender, key vault
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Azure Governance, Security, Monitoring, Workbooks, Compliance, and cost awareness
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Azure Virtual Machines, Containers and/or Kubernetes and/or OpenShift (infrastructure perspective)
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Azure Storage Account, Disk, Snapshot, Backup, Site Recovery, file sync, Data Lake
Preferred Qualifications
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Azure Certifications
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Exposure to cost optimization and tagging standards.
Understanding of backup/DR patterns in cloud
