Senior Endpoint Engineer

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Genesys

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Artificial Intelligence • SaaS • Telecommunications

Genesys is a leading provider of AI-powered experience orchestration solutions designed to deliver personalized experiences at scale. Their offerings include comprehensive contact center software, workforce engagement management solutions, and an open platform with cloud architecture. Genesys Cloud CX and EX platforms optimize both customer and employee experiences using intelligent automation and embedded AI, allowing seamless engagement across any channel. With a focus on various industries including banking, healthcare, retail, insurance, and government, Genesys assists organizations in transforming customer and employee interaction landscapes. Additionally, their AppFoundry Marketplace offers pre-integrated applications to extend platform functionalities.

5001 - 10000 employees

Founded 1990

🤖 Artificial Intelligence

☁️ SaaS

📡 Telecommunications

📋 Description

• 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. • 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. • 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. • 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. • 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. • 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. • 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. • 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.

🎯 Requirements

• 5 years of related experience of endpoint engineering experience with deep mastery of: Microsoft Intune / Endpoint Manager (Windows + Mobile) Windows Autopilot provisioning and lifecycle automation Microsoft 365 Apps deployment and Evergreen updates Entra ID / Conditional Access Windows 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. • Microsoft certifications (MD-102, MS-102, SC-100, AZ-305, or equivalent). • 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 environments.

🏖️ Benefits

• great benefits and perks