Cloud Solution Architect

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AIS (Applied Information Sciences)

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501 - 1000 Mitarbeiter

Gegründet 1982

🤖 Künstliche Intelligenz

☁️ SaaS

Artificial Intelligence • Cloud Computing • SaaS

AIS (Applied Information Sciences) ist eine missionsorientierte und ergebnisorientierte Organisation, die sich auf KI und Automatisierung, Cloud-Einführung, Anwendungsinnovation sowie Daten und Analytik spezialisiert hat. Als führender Microsoft-Partner hilft AIS Unternehmen bei der Transformation und der Lösung komplexer Probleme mit seiner Expertise in Cloud-Lösungen, Infrastrukturen und Anwendungsentwicklung. Sie betreuen verschiedene Branchen, darunter den kommerziellen Sektor, Finanzdienstleistungen und Versicherungen, Gesundheitswesen und Biowissenschaften, Energie und Versorgung sowie den Regierungssektor. Mit ihren fortschrittlichen Datenlösungen und Cloud-Fähigkeiten führt AIS Unternehmen in ihren digitalen Transformationsreisen, verbessert die Produktivität und eröffnet neue Möglichkeiten für Wachstum.

Beschreibung

• Lead the architecture, design, and technical governance of Azure-based industrial IoT and edge solutions • Define end-to-end IIoT reference architectures spanning sensors, PLCs, SCADA/DCS systems, industrial gateways, edge compute, cloud ingestion, storage, analytics, and visualization • Design solutions using Azure services such as Azure IoT Operations, Azure IoT Hub, Azure Event Hubs, Azure Data Explorer, Azure Functions, Azure Stream Analytics, Azure Kubernetes Service, Azure Arc, Azure Monitor, Microsoft Defender for IoT, and Azure Digital Twins as appropriate • Architect secure and resilient connectivity patterns between plant-floor assets and Azure, including edge-to-cloud messaging, store-and-forward, intermittent connectivity handling, and remote site deployment models • Develop strategies for ingesting and normalizing data from industrial protocols and systems such as OPC UA, Modbus, MQTT, BACnet, DNP3, and proprietary OEM interfaces • Collaborate with OT engineers, plant operations, cybersecurity teams, infrastructure teams, and software developers to ensure solutions align with operational requirements and safety constraints • Define device onboarding, identity, certificate management, lifecycle management, patching, and remote operations models for field and plant devices • Design data architectures that support real-time monitoring, historian integration, predictive maintenance, condition monitoring, asset performance management, and advanced analytics use cases • Ensure architectures incorporate security-by-design principles, including zero trust, network segmentation, role-based access control, secrets management, device hardening, and regulatory compliance • Produce architecture artifacts including solution diagrams, interface definitions, security models, deployment patterns, migration plans, and implementation roadmaps • Provide technical leadership during pilots, proof-of-concepts, and production deployments, including design reviews, troubleshooting, and performance optimization • Establish non-functional requirements for availability, scalability, latency, resiliency, observability, and disaster recovery • Support cost modeling, environment sizing, and cloud consumption planning for IIoT workloads • Mentor engineering teams and provide architectural oversight across implementation and operational handoff

🎯 Anforderungen

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field, or equivalent practical experience • 8+ years of experience in solution architecture, cloud engineering, or enterprise systems integration • 3+ years of experience designing or deploying industrial IoT/OT-integrated solutions in manufacturing, energy, utilities, transportation, mining, or similar industrial sectors • Strong hands-on knowledge of Microsoft Azure architecture and services relevant to IoT, data, integration, security, and hybrid infrastructure • Experience integrating cloud platforms with industrial environments, including PLCs, SCADA, MES, historians, industrial gateways, or plant-floor networks • Understanding of industrial communications standards and protocols such as OPC UA, MQTT, and Modbus • Experience with edge computing platforms, containerized workloads, and remote site deployment patterns • Knowledge of OT and IoT cybersecurity principles, including asset visibility, network boundaries, device identity, certificate-based authentication, secure remote access, and threat monitoring • Experience with infrastructure as code and automation using tools such as Bicep, ARM, Terraform, PowerShell, or Azure DevOps/GitHub Actions • Strong communication skills with the ability to engage both executive stakeholders and deeply technical engineering teams

🏖️ Vorteile

• Competitive Salaries • Qualified Overtime • Paid Time Off (PTO) • Flexible Holiday Leave (88 hours per year) • Parental Leave • Immediate Healthcare: Medical, Dental, Vision, and Life Insurance • Employee Stock Ownership Plan (ESOP) • 401(k) Retirement Plan (5% match on base compensation, immediate 100% vesting) • Tuition Reimbursement & Learning Allowance • Referral Bonus Program (up to $5k)