Senior Systems Administration Job ID 2026-1869

Senior Systems Administration

Job ID 2026-1869

Technology Navi Mumbai, Maharashtra

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Description

Position at WebMD

About the Company

WebMD Health Corp., an Internet Brands Company, is the leading provider of health information services, serving patients, physicians, health care professionals, employers, and health plans through our public and private online portals, mobile platforms, and health-focused publications. The WebMD Health Network includes WebMD Health, Medscape, Jobson Healthcare Information, prIME Oncology, MediQuality, Frontline, QxMD, Vitals Consumer Services, MedicineNet, eMedicineHealth, RxList, OnHealth, Medscape Education, and other owned WebMD sites. WebMD®, Medscape®, CME Circle®, Medpulse®, eMedicine®, MedicineNet®, theheart.org®, and RxList® are among the trademarks of WebMD Health Corp. or its subsidiaries.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. For company details, visit: www.webmd.com

Position Summary

Experience Required - 8+ Years

Work Timings - 3:00 PM – 12:00 AM IST

Qualification - B.E. Computer Science / IT or equivalent engineering discipline

Position Overview

The AI & Systems Engineer is a hybrid infrastructure and AI operations role responsible for managing the full enterprise IT stack while also architecting, deploying, securing, and governing AI systems across the organization. This role serves as the primary technical owner for AI platform integrations—including large language models, MCP servers, and connector ecosystems—alongside traditional systems administration responsibilities covering Windows Server, cloud platforms, network infrastructure, and enterprise security. The ideal candidate bridges deep infrastructure expertise with hands-on AI engineering, ensuring AI systems are deployed with rigor, properly hardened, and tightly integrated with existing enterprise identity and security controls.

Position Requirements

Infrastructure & Systems Administration

Experience across the complete infrastructure stack: network, security, storage, hardware, and OS layers

Expertise with Windows Server administration, configuration, upgrades, and lifecycle management

Deep expertise in PowerShell scripting for automation, provisioning, reporting, and systems management

Expertise in DNS and DHCP administration, including Windows Server DNS roles, zone management, conditional forwarding, split-brain DNS, and DNSSEC

Experience with enterprise backup tools including NetApp; building DR environments and failover plans

Proficiency with virtualization platforms: VMware and/or Hyper-V

Experience managing and maintaining security patches across server and application estates

Experience migrating data across cloud, hybrid, and on-premises environments

Ability to plan, organize, and document complex system maintenance activities; configure systems consistent with institutional policies and procedures

Comfortable with on-call schedules and response to critical alerts in a timely manner

Cloud & Productivity Platforms

Experience with Google Workspace administration (user lifecycle, OU management, GAM scripting)

Experience with Google Cloud Platform (GCP) infrastructure and services

Experience with Microsoft Office 365 administration including licensing, Exchange Online, and compliance

Experience with Microsoft Azure including Entra ID (formerly Azure AD), Conditional Access, PIM, and Azure resource management

Familiarity with setting up and configuring applications with Azure SSO or Google SSO (SAML, OIDC, OAuth 2.0)

AI Systems Engineering & Operations

Hands-on experience deploying, configuring, and administering large language model (LLM) platforms including Anthropic Claude (claude.ai, Claude API, Claude Code) and Google Gemini across enterprise environments

Experience architecting and administering MCP (Model Context Protocol) server infrastructure: deploying MCP server instances, configuring tool registries, managing connector ecosystems (Airtable, Atlassian, Google Drive, Gmail, and others), and integrating MCP servers with enterprise identity and access controls

Ability to design and enforce AI connector governance policies: scope management, permission auditing, credential lifecycle, and connector access reviews

Experience performing AI platform security assessments covering permission scopes, data flows, output validation pipelines, prompt injection defenses, and HITL (Human-in-the-Loop) controls

Familiarity with AI hardening principles: model access controls, rate limiting, WAF integration, API gateway configuration, session controls, and kill switch hierarchies for AI systems

Experience configuring and monitoring SIEM detection rules for AI platform activity and anomaly detection

Understanding of responsible AI deployment including data residency requirements, privacy-by-design, audit logging, and regulatory alignment (HIPAA, GDPR as applicable)

Ability to evaluate new AI tools and platforms against enterprise security standards prior to production deployment

Experience authoring AI systems documentation: architecture diagrams, runbooks, security assessments, and governance policies

Security & Compliance

Knowledge of applicable data privacy practices, laws, and regulations (HIPAA, SOC 2, GDPR fundamentals)

Experience with identity and access management (IAM) tooling: Entra ID, Active Directory, SAML/OIDC federation, MFA enforcement, and privileged access management

Familiarity with network security concepts including firewall policy, VPN administration, WAF configuration, and zero-trust network access models

Experience with endpoint management using Microsoft Intune or comparable MDM solutions

Certifications & Nice-to-Have

Certifications in VMware, Hyper-V, MCSE, MCSA, or AWS/Azure Solutions Architect are desirable

Certifications or coursework in AI/ML platforms, prompt engineering, or r