• Support security configuration and monitoring across AWS • Perform secure configuration reviews covering IAM, network security, logging, and monitoring • Identify misconfigurations and provide remediation guidance aligned with security best practices • Monitor and triage CSPM alerts and findings • Conduct risk analysis of vulnerabilities and misconfigurations • Support remediation efforts and validate corrective actions • Maintain dashboards and security posture reporting metrics • Monitor and analyze EDR alerts and threats • Support containment, investigation, and escalation processes • Assist in incident response (IR) activities and documentation • Perform alert monitoring, prioritization, and triage across cloud, endpoint, and email systems • Tune detection rules to reduce false positives and improve efficiency • Ensure timely response aligned with SLAs and security procedures • Implement security best practices including least privilege IAM, encryption, and vulnerability management • Align cloud environments with compliance and security standards • Recommend continuous improvements to overall security posture • Develop automation scripts using Python

• Handles advanced engineering escalations tied to cloud-connected endpoint services • Device enrollment, authentication failures, endpoint compliance, asset/device reconciliation, telemetry gaps • Service Desk runbook transfer • Bridge tickets into engineering remediation

• Own the architecture for cloud-native data platforms, including Lakehouse designs (Delta Lake, Iceberg, Databricks, or Microsoft Fabric) that support reporting, analytics, and BI • Design scalable data models supporting enterprise platforms, including ERP, financial, operational, and project management systems • Lead modernization initiatives for legacy data environments, including migration strategy, data mapping/transformation, reconciliation, and cutover to production • Build frameworks for real-time and near real-time data ingestion and processing, alongside batch pipelines (ELT/ETL) • Drive decisions across storage, orchestration, data quality, reliability, and performance • Define semantic data models that enable self-service analytics and consistent reporting, in coordination with data governance, metadata management, and master data management (MDM) standards • Partner with business and technical stakeholders across functional areas to prioritize requirements and translate them into architectural decisions • Support secure, governed data access in coordination with Identity and Access Management (IAM) teams • Evaluate emerging technologies, including AI, and identify opportunities to apply them within the data ecosystem; help shape the long-term technical roadmap • Mentor junior architects and data management staff, and translate complex technical concepts into clear, business-friendly language for technical and non-technical audiences alike

• Design, implement, and manage Azure solutions across IaaS, PaaS, and SaaS, including VMs, App Services and Networking. • Deploy and configure key Azure infrastructure services, including Azure Landing Zones, Azure Virtual Desktop, Defender for Cloud and other enterprise platforms. • Architect and deploy secure network solutions on Azure, including VNETs, VPNs, and ExpressRoute. • Implement and manage Azure storage solutions, including Blob, Queue, and Table Storage. • Develop and deploy applications using Azure App Services and integrate with other Azure services. • Utilize Azure DevOps for CI/CD pipelines, monitoring, and automation. • Implement Infrastructure as Code (IaC) using tools like ARM templates or Terraform. • Ensure security best practices are implemented across all Azure services using Azure Security Center and other tools. • Implement and manage containerized applications using Azure Kubernetes Service (AKS). • Stay abreast of the latest Azure services and technologies, ensuring our solutions leverage the latest capabilities.