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Reveleer

AI Infrastructure Engineer

Reveleer

. Administer macOS, Windows 10/11, and Windows Server environments while reducing manual administration through intelligent tooling .

Posted 11/11/2026full-timeChennai • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing hybrid cloud environments, with a strong focus on Azure AD, Microsoft 365, and endpoint management. Proficient in implementing AI-driven automation and maintaining compliance with healthcare regulations such as HIPAA and NIST.

Highest-signal resume keywords
Hybrid Cloud Environment ManagementAI Tools ImplementationMicrosoft 365 AdministrationAPI Integration with PythonHIPAA Compliance Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Azure AD / Entra ID ManagementMicrosoft 365 Services AdministrationEndpoint Management with IntuneNetworking FundamentalsAutomation with PythonREST API DevelopmentAI Agent Workflow DevelopmentVersion Control PracticesInfrastructure Automation LibrariesDisaster Recovery Planning
Soft Skills
Collaboration with Engineering TeamsProblem-Solving SkillsDocumentation Practices
Tools & Technologies
Azure Cloud ServicesIntuneMCP ProtocolEDR/XDR SolutionsGraphQL API IntegrationsVersion-Controlled Knowledge BaseAI-Powered Automation Tools
Certifications & Qualifications
Microsoft Certified: Azure Administrator AssociateMCSE
Industry Keywords
HIPAA ComplianceHITRUST ComplianceNIST ComplianceHealthcare ITRegulated Environment

Tech Stack

Tools & technologies
AzureCloudDNSFirewallsGraphQLMacOSPythonTCP/IPTerraform

About the role

Key responsibilities & impact
  • Administer macOS, Windows 10/11, and Windows Server environments while reducing manual administration through intelligent tooling
  • Manage Azure AD / Entra ID, Conditional Access policies, Azure AD Domain Services, Group Policy, authentication, and access control
  • Administer Microsoft 365 services including Exchange Online, SharePoint, OneDrive, and Teams
  • Manage endpoint platforms including Intune
  • Support Azure cloud infrastructure, hybrid connectivity, and platform-as-a-service workloads
  • Support and troubleshoot hybrid networking infrastructure, including VPNs, firewalls, DNS, DHCP, and VLANs
  • Maintain HIPAA, HITRUST, and NIST compliance with the security team
  • Implement and monitor EDR/XDR solutions and integrate security telemetry into automated alerting and response workflows
  • Build automated monitoring pipelines to surface anomalies and reduce mean time to detection
  • Develop self-healing runbooks and AI-assisted incident response workflows
  • Document automation, integrations, and infrastructure changes in a centralized version-controlled knowledge base
  • Design and deploy AI-powered automation for ticket triage, access provisioning, patch scheduling, and system health alerting
  • Implement and manage MCP-based integrations connecting AI agents and internal tools with IT infrastructure, identity systems, and cloud services
  • Evaluate, pilot, and operationalize LLM-driven IT operations tools for AI-assisted scripting, anomaly detection, and runbook generation
  • Partner with engineering and product teams to meet security, compliance, and audit requirements
  • Build and maintain REST and GraphQL API integrations across Microsoft 365, Azure, endpoint management, and third-party IT platforms
  • Design MCP-server integration architectures exposing IT capabilities to AI agents and automation pipelines
  • Develop reusable, version-controlled infrastructure automation libraries in Python and PowerShell
  • Manage identity and access workflows through API-driven automation across Azure AD / Entra ID and Intune
  • Provide Tier 3 support for escalated infrastructure issues
  • Collaborate with DevOps, security, and software engineering teams on infrastructure investments and roadmaps
  • Participate in disaster recovery and business continuity planning, automating failover and recovery procedures

Requirements

What you’ll need
  • 5+ years of experience in systems engineering or systems administration, with demonstrated ownership of complex hybrid cloud environments
  • Hands-on experience implementing AI tools or LLM-powered workflows in an IT operations context, including prompt engineering, API integration, or agent orchestration
  • Working knowledge of Model Context Protocol (MCP), including MCP server structure, AI agent tool definitions, and exposing IT system capabilities through MCP endpoints
  • Strong API fluency, including building and maintaining REST API integrations using Python, PowerShell, or equivalent, with version control and documentation practices
  • Proficiency in Microsoft 365, Azure AD / Entra ID, and Azure cloud services
  • Experience with endpoint management platforms such as Intune
  • Knowledge of networking fundamentals: TCP/IP, DNS, DHCP, VPN, VLANs, and firewall management
  • Demonstrated experience in a healthcare IT or regulated environment involving HIPAA, HITRUST, or NIST
  • Preferred: Experience building AI agent workflows using LangChain, AutoGen, or custom MCP server implementations
  • Preferred: Familiarity with infrastructure-as-code and GitOps practices, including Terraform, Bicep, or equivalent
  • Preferred: Background in DevOps or platform engineering, with exposure to CI/CD pipelines and containerized workloads
  • Preferred: Microsoft Certified: Azure Administrator Associate, MCSE, or equivalent certification

Benefits

Comp & perks
  • No benefits, perks, or compensation extras are specified in the posting.