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Gruve

AI-driven enterprise services and analytics

Endpoint Management Engineer - Intune & SCCM/MECM

System AdministrationConfirmed live in the last 24 hours
Full-timeRemote in IndiaNo salary listedRemote

About the Job

Requirements

  • 3–6 years of experience in enterprise endpoint management, Windows client administration, device management, and production IT operations.
  • Hands-on experience in Windows endpoint administration and troubleshooting.
  • Practical experience with Microsoft Intune and/or SCCM/MECM.
  • Knowledge of Windows OS deployment, patching, software distribution, and device compliance.
  • Understanding of device enrollment, configuration profiles, Group Policy, and endpoint policies.
  • Experience troubleshooting application installation, policy synchronization, and endpoint connectivity.
  • Knowledge of BitLocker, encryption policies, and endpoint configuration baselines.
  • Understanding of ITIL processes, incident management, and SLA-driven operations.
  • Experience with ServiceNow or equivalent ITSM platforms.
  • Basic PowerShell scripting skills for endpoint troubleshooting and administration.
  • Experience in enterprise production support and global operational environments.

Responsibilities

  • Provide L2 support for Windows endpoint incidents, device issues, and service requests.
  • Administer and troubleshoot endpoint management platforms such as Microsoft Intune and SCCM/MECM.
  • Support device enrollment, configuration profiles, compliance policies, and endpoint provisioning.
  • Troubleshoot device registration, policy synchronization, application deployment, and management issues.
  • Support Windows Autopilot enrollment, device provisioning, and lifecycle activities.
  • Execute approved Windows OS and application patching activities.
  • Monitor patch compliance, investigate deployment failures, and perform post-patching validation.
  • Support application packaging, deployment, installation, and troubleshooting.
  • Manage software distribution, deployment collections, and endpoint configuration baselines.
  • Coordinate driver, firmware, and feature update deployments as per approved procedures.
  • Monitor endpoint compliance against approved OS patching, encryption, and configuration baselines.
  • Support BitLocker encryption, device configuration policies, and security baseline remediation.
  • Investigate compliance failures, configuration deviations, and policy application issues.
  • Coordinate with the dedicated Defender/Security team for endpoint security-related incidents and remediation.
  • Support device access controls and remediation of non-compliant endpoints.
  • Resolve endpoint incidents and service requests within defined SLAs.
  • Follow ITIL Incident, Problem, Change, and Request Management processes.
  • Troubleshoot complex endpoint issues and escalate platform-level problems to L3 SMEs.
  • Maintain runbooks, operational documentation, incident records, and shift handover notes.
  • Coordinate with L1, Service Desk, Identity, Security, Network, and Application teams.
  • Support endpoint lifecycle management, operational reporting, and continuous improvement.
  • Ensure effective APAC–EMEA–NLAM follow-the-sun handovers.

Desired Qualifications

  • Microsoft MD-102 or equivalent endpoint management certification.
  • Experience with Windows Autopilot and Intune/SCCM co-management.
  • Knowledge of application packaging, driver, and firmware deployment.
  • Exposure to Microsoft Entra ID, conditional access, and identity integration.
  • Experience with endpoint analytics, compliance reporting, and automation.
  • Familiarity with enterprise monitoring and endpoint management tools.

About the Company

Gruve

AI-driven enterprise services and analytics

Gruve AI provides AI-driven solutions for enterprise services, focusing on data analytics, cloud computing, digital transformation, infrastructure management, enterprise security, and identity management. Through consulting and engagement services, it tailors AI and software-development projects for Fortune 100 clients to improve efficiency and deliver measurable results. The company’s approach combines machine learning, data science, and software development to transform how large organizations operate, with a strong emphasis on customer success, resilience, ethics, and a collaborative culture. Its goal is to lead in data and AI innovation while helping clients grow and innovate across industries.

Company size
501-1,000
Company stage
Series A
Total funding
$37.5M
Headquarters
Redwood City, CA
Founded
2024

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