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.e, what success in the position looks like, and how this role fits into the organization overall.