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.