Cloud Architect

Overview: Seeking a highly experienced Cloud Architect to design and oversee robust, scalable, and secure cloud solutions for enterprise environments in oil & gas and other regulated industries (energy, finance, government). Key Responsibilities: Architect end-to-end cloud solutions (public, private, hybrid) with a focus on reliability, security, compliance, and scalability. Lead migration and modernization projects of mission-critical applications. Define cloud governance, access management, and security best practices. Ensure high availability, disaster recovery, and business continuity strategies. Enable and operationalize AI/ML workloads—deploying, scaling, and maintaining data pipelines and model inferencing on the cloud. Collaborate with stakeholders to align cloud strategy with organizational goals. Core Technical & AI/ML Skills: Deep knowledge of at least one leading cloud platform (AWS, Azure, or Google Cloud Platform). Experience with cloud-native AI/ML services (e.g., AWS SageMaker, Azure ML, Google AI Platform), enabling secure integration and operationalization of models. Infrastructure as Code (Terraform, CloudFormation, ARM) and AI-powered IaC generation tools. Cloud security (IAM, encryption, compliance frameworks), including governance for AI/ML pipelines. Application modernization (containers, Kubernetes, serverless architectures). CI/CD, cloud automation, and AI-powered scripting/plugins (e.g., GitHub Copilot). Enterprise networking concepts (VPC, VPN, hybrid connectivity). Monitoring, observability, and cost optimization. Soft Skills: Excellent communication with technical and business stakeholders. Proven leadership and mentoring of cross-functional teams. Strong problem-solving in high-stakes, regulated environments. Proactive in evaluating and introducing AI tools for productivity and process improvement.

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