.NET Cloud Architect Multi-Tenant SaaS | Upstream Oil & Gas

You are a seasoned .NET Cloud Architect with proven expertise in designing and building high-performance, scalable, multi-tenant SaaS applications on the cloud. Your deep technical knowledge of the Microsoft .NET ecosystem and cloud-native architecture (preferably Azure) is complemented by a strong understanding of the Upstream Oil & Gas domain, including exploration, drilling, production, and reservoir management. Your key responsibilities will include architecting and leading the end-to-end development of multi-tenant SaaS platforms using .NET Core / .NET 6+ and cloud-native services. You will be designing secure, scalable, high-availability architectures optimized for performance and cost on Azure or other major cloud platforms. Defining multi-tenancy strategies based on business and technical requirements, driving DevSecOps practices, and collaborating closely with product owners and engineering teams will be essential in translating complex business needs into technical solutions. Ensuring compliance with industry standards and best practices in data privacy, security, and regulatory compliance for the Oil & Gas sector is crucial. You will guide decisions on data modeling, API design, event-driven architecture, microservices, and containerization. Mentoring and guiding development teams on architectural decisions, design patterns, and performance optimization techniques will be part of your role. Your required skills and qualifications include 10+ years of experience in software architecture and development with .NET technologies, strong proficiency in C#, .NET Core/.NET 6+, and RESTful API development. You should have 5+ years of experience designing and deploying cloud-native applications on Microsoft Azure (preferred) or AWS. Deep experience with multi-tenant SaaS architecture, database design, event-driven architectures, container orchestration, and Infrastructure as Code tools is expected. A strong background in the Upstream Oil & Gas domain is essential. Nice to have skills include experience integrating with Oil & Gas digital platforms, knowledge of AI/ML pipelines in the Oil & Gas context, familiarity with observability tools, and certification in Azure Solutions Architecture or equivalent. You should hold a Bachelors or Masters degree in Computer Science, Engineering, or a related technical field to excel in this role.,