Sr. Cloud Engineer

Encore Talent Solutions is recruiting for an unnamed client seeking an Infrastructure Engineer to own the reliability and security of its hybrid cloud environment. The role focuses on reducing manual IT work through AI-enabled automation, modern API and MCP integrations, and improved monitoring and incident response.

Responsibilities:

• Administer macOS, Windows 10/11, and Windows Server environments with a focus on reducing manual administration through intelligent tooling
• Manage Azure AD / Entra ID, Conditional Access policies, and Azure AD Domain Services, including Group Policy, authentication, and access control
• Administer Microsoft 365 (Exchange Online, SharePoint, OneDrive, Teams) and endpoint management platforms (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
• Collaborate with the security team to maintain HIPAA, HITRUST, and NIST compliance across all managed systems
• Implement and monitor EDR/XDR solutions and integrate security telemetry into automated alerting and response workflows
• Build and maintain automated monitoring pipelines that surface anomalies before they escalate, reducing mean time to detection
• Develop self-healing runbooks and AI-assisted incident response workflows to reduce escalation volume and on-call burden
• Document all automation, integrations, and infrastructure changes in a centralized, version-controlled knowledge base
• Design and deploy AI-powered automation workflows that replace repetitive IT processes — including ticket triage, access provisioning, patch scheduling, and system health alerting
• Implement and manage MCP-based integrations that allow AI agents and internal tools to interact with IT infrastructure components, identity systems, and cloud services
• Evaluate, pilot, and operationalize large language model (LLM)-driven tools for IT operations — including AI-assisted scripting, anomaly detection, and runbook generation
• Partner with engineering and product teams to ensure AI infrastructure integrations meet security, compliance, and audit requirements
• Build and maintain REST and GraphQL API integrations that connect Microsoft 365, Azure, endpoint management tools, and third-party IT platforms
• Design integration architectures using MCP servers to expose IT system capabilities to AI agents and internal automation pipelines
• Develop and maintain automation libraries in Python and PowerShell, moving beyond one-off scripts toward reusable, version-controlled infrastructure-as-code
• Manage identity and access workflows through API-driven automation across Azure AD / Entra ID, and Intune
• Provide Tier 3 support for escalated infrastructure issues, applying automation tooling to accelerate resolution
• Work directly with DevOps, security, and software engineering teams to align IT infrastructure investments with product and platform roadmaps
• Participate in disaster recovery planning and business continuity design, with an emphasis on automating failover and recovery procedures

Requirements:

• Five or more years of experience in systems engineering or systems administration 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): how MCP servers are structured, how AI agents consume tool definitions, and how to expose IT system capabilities through MCP endpoints
• Strong API fluency: experience 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 (Intune)
• Networking fundamentals: TCP/IP, DNS, DHCP, VPN, VLANs, and firewall management
• Demonstrated experience in a healthcare IT or regulated environment (HIPAA, HITRUST, NIST)
• Experience building AI agent workflows using frameworks such as LangChain, AutoGen, or custom MCP server implementations
• Familiarity with infrastructure-as-code and GitOps practices (Terraform, Bicep, or equivalent)
• Background in DevOps or platform engineering, with exposure to CI/CD pipelines and containerized workloads
• Microsoft Certified: Azure Administrator Associate, MCSE, or equivalent certification