Test Architect - IoT & Cloud

Software Test Architect - IoT & Cloud Test Vision & Strategy: Define and communicate a clear, long-term Test Vision aligned to product and business goals Test Vision & Strategy: Establish future-ready testing practices demonstrating automation, observability, AI, and cloud-native principles Test Vision & Strategy: Drive organization-wide adoption of quality as a core engineering team Partner Management & Influence: Act as the central authority for test architecture and quality decisions Partner Management & Influence: Influence Product, Architecture, Engineering, and DevOps leadership Partner Management & Influence: Drive alignment between business priorities and quality outcomes Partner Management & Influence: Clearly communicate quality risks, trade-offs, and release readiness Partner Management & Influence: Build strong Partner relationships to embed a quality-first attitude across teams Test Architecture & Engineering Excellence: Define and govern scalable test architecture across UI, API, system, and integration layers Test Architecture & Engineering Excellence: Influence system design with testability and traceability requirements Test Architecture & Engineering Excellence: Ensure end-to-end validation of complex workflows and distributed/cloud-native systems (Azure/AWS) Automation, DevOps & Tools Ecosystem: Define end-to-end automation strategy across all testing layers Automation, DevOps & Tools Ecosystem: Integrate testing into CI/CD pipelines and DevOps workflows across cloud and hybrid environments Automation, DevOps & Tools Ecosystem: Establish and govern tools Cloud-Native Quality Engineering (Azure & AWS): Strong experience with Microsoft Azure and AWS platforms Cloud-Native Quality Engineering (Azure & AWS): Design and validate scalable, distributed, and cloud-native systems Cloud-Native Quality Engineering (Azure & AWS): Ensure testing of cloud services, microservices, containers, and hybrid integrations Cloud-Native Quality Engineering (Azure & AWS): Validate scalability, reliability, and fault tolerance in cloud deployments AI-Driven Quality Engineering: Drive adoption of AI-enabled testing: intelligent test generation, prioritization AI-Driven Quality Engineering: Enable root cause analysis, defect clustering, and predictive quality insights AI-Driven Quality Engineering: Integrate AI into test pipelines and engineering workflows Domain Expertise Engineering Systems & IoT: Experience in engineering systems and IoT-based products (preferably in Electrical domain) Domain Expertise Engineering Systems & IoT: Strong understanding of system/device integration, multi-user and multi-tenant behavior Domain Expertise Engineering Systems & IoT: Validate cloud deployments in multiple environments Domain Expertise Engineering Systems & IoT: Ensure alignment with domain reliability and safety constraints Quality Governance & Continuous Improvement: Define and track quality KPIs and release metrics Quality Governance & Continuous Improvement: Drive reduction in defect leakage and improve release stability Quality Governance & Continuous Improvement: Continuously evolve testing frameworks and practices Qualifications Bachelors or masters degree or equivalent experience in computer science. Overall 12+ years: Test Architect (4+ years) Experience in IoT application test architecture (preferably in Electrical domain)