Genesys - Senior Microsoft Endpoint Engineer

Description :

Genesys is seeking a high-impact Senior Microsoft Endpoint Engineer who operates with staff-level engineering maturity.

This role owns the architecture, automation, and evolution of our Microsoft Intune, Autopilot, and Microsoft 365 endpoint ecosystem. You will lead the transformation toward AI-driven endpoint management, building intelligent automation and self-healing capabilities that improve reliability, reduce operational load, and materially elevate the employee experience.

This is a hands-on engineering role with broad architectural influence and requires deep expertise across automation, security, modern device management, and emerging AI-driven operational models.

Key Responsibilities :

Architecture & Strategic Ownership :

- Own the enterprise architecture and long-term roadmap for modern endpoint management across Windows, iOS, and Android.

- Define global configuration baselines, governance controls, and secure deployment frameworks.

- Architect automation-first and AI-assisted endpoint management frameworks, enabling predictive insights and automated corrective actions.

- Drive the evolution toward self-healing device management, integrating telemetry, AI/ML insights, and automated remediation pipelines.

Enterprise Intune Engineering :

- Engineer and optimize Intune policies, baselines, compliance rules, and security configurations at global scale.

- Lead the implementation and operational maturity of Windows Autopilot for automated, zero-touch provisioning.

- Build and maintain enterprise-grade packaging and deployment pipelines (Win32, MSIX, PSADT) with automated update management.

- Deliver intelligent automation workflows that detect issues, trigger remediations, and maintain endpoint health without manual intervention.

AI-Driven Automation & Self-Healing Capabilities :

- Design and implement AI-enhanced endpoint automation, leveraging Microsoft Copilot for Security, advanced Graph integrations, and AI-driven operational workflows.

- Build self-healing engines that automatically : Detect configuration drift Remediate policy failures Repair OS or application issues Restore compliance posture

- Integrate AI-based anomaly detection, predictive analytics, and automated decision-making into endpoint operations.

- Drive a shift from reactive support to autonomous remediation using scripting, telemetry, and machine learning signals.

Automation, Scripting & Platform Engineering :

- Develop advanced automation modules using PowerShell, Microsoft Graph, and REST-based orchestration.

- Implement CI/CD pipelines for endpoint configuration, policy testing, and controlled rollout management.

- Build internal operational tools and workflows through Azure Automation, Logic Apps, and Power Platform.

Security Integration & Zero Trust :

- Partner with Security to align endpoint controls with Zero Trust architecture and regulatory frameworks.

- Operationalize Microsoft Defender for Endpoint, BitLocker, Conditional Access, and device risk scoring.

- Build automated detection and remediation pipelines tied to risk posture and compliance thresholds.

- Drive adoption of emerging Microsoft AI security capabilities.

Telemetry, Observability & AI Insights :

- Build advanced KQL-based analytics and dashboards to monitor device health, compliance, performance, and drift.

- Use telemetry with AI/ML insights to proactively identify systemic issues, user impacting trends, and optimization opportunities.

- Implement intelligent alerting and anomaly detection patterns to improve visibility and reduce operational noise.

Operational Leadership & Escalation :

- Serve as the L4 engineering escalation point for the most complex endpoint issues.

- Design operating models that incorporate self-healing, auto-remediation, and AI based troubleshooting.

- Mentor engineering and operational teams, elevating global maturity in modern endpoint management.

Cross-Functional Impact :

- Collaborate across Infrastructure, Security, Identity, Service Desk, and Architecture teams to ensure consistent, reliable endpoint experiences.

- Influence enterprise initiatives requiring endpoint strategy or automation expertise.

- Advocate for employee experience, balancing security, performance, and usability.

Required Qualifications :

- 5years of related experience of endpoint engineering experience with deep mastery of : Microsoft Intune / Endpoint Manager (Windows + Mobile)Windows Autopilot provisioning and lifecycle automationMicrosoft 365 Apps deployment and Evergreen updatesEntra ID / Conditional AccessWindows 10/11 configuration, security, and hardening

- Expert-level PowerShell scripting, Microsoft Graph, and REST API automation.

- Proven experience developing self-healing or auto-remediation workflows within Intune or related Microsoft ecosystems.

- Experience implementing or integrating AI-driven operational insights, anomaly detection, or predictive remediation models.

- Strong expertise in Win32/MSIX packaging and enterprise deployment orchestration.

- Proficiency with KQL, Log Analytics, Defender data models, and telemetry-driven engineering.

- Demonstrated ability to troubleshoot complex cross-domain issues at scale (identity, networking, OS, policy, app, security).

- Effective communicator capable of influencing technical and non-technical stakeholders.

- Must have certifications : MD-102 (Endpoint Admin), MS-102(M365 Admin)

Preferred Qualifications :

- Microsoft certifications : SC-100(Cyber Security Architect), AZ-305(Azure Solutions Architect).

- Experience with Microsoft Copilot for Security, Azure AI, or AI-integrated device management platforms.

- Familiarity with SASE/ZTNA, certificate-based networking, and identity governance.

- Experience deploying endpoint architectures in globally distributed, cloud-first enviroments