AI & Data - Cloud Infrastructure Engineer – GCP Senior Consultant at Deloitte

Job Description

• We are seeking a high-impact Cloud Infrastructure Engineer with deep expertise in Google Cloud Platform (GCP) to join our AI & Data consulting practice as a Senior Consultant. This is a technical leadership role focused on the design, deployment, and optimization of scalable cloud infrastructure and services on especially GCP.
• You will work alongside multidisciplinary teams of AI engineers, data scientists, and data engineers to build secure, production-ready platforms that power transformative AI and Data solutions for our clients across the African continent.

Key Responsibilities:

Cloud architecture & Engineering

• Architect and implement secure, scalable, and automated cloud infrastructure on GCP to support data platforms, AI/ML workloads, and cloud-native applications.
• Lead infrastructure design and provisioning using Infrastructure as Code (IaC) tools such as Terraform and Deployment Manager.
• Enable network design, security hardening, and CI/CD for cloud-native and hybrid environments.

GCP expertise

• Design, configure, and optimize core GCP services including:
• Compute Engine, Kubernetes Engine (GKE), Cloud Functions
• BigQuery, Cloud Storage, Pub/Sub, Cloud Run
• Cloud Monitoring, Identity and Access Management (IAM), VPC networking
• Apply best practices for cost optimization, monitoring, observability, and performance tuning across cloud environments.

Consulting & Delivery

• Translate business and functional requirements into robust cloud solutions.
• Collaborate with engagement managers, architects, and technical leads to ensure seamless delivery of cloud infrastructure within time and budget.
• Contribute to proposals, client presentations, and architecture documentation.

DevSecOps & Governance

• Integrate cloud governance frameworks including security controls, audit readiness, and compliance requirements (e.g., POPIA, GDPR).
• Implement DevOps pipelines with GCP-native and third-party tooling for CI/CD and automated testing.

Qualifications
Required:

• 5+ years of experience in cloud engineering or infrastructure roles with a strong GCP track record.
• Proven experience designing and deploying production-grade infrastructure using GCP services.
• Strong knowledge of Terraform, Linux administration, and container orchestration (e.g., GKE/Kubernetes).
• Solid experience with CI/CD practices, DevOps tooling, and infrastructure automation.
• Deep understanding of networking, identity, IAM, encryption, and cloud security fundamentals.
• Excellent problem-solving, communication, and consulting skills.
• Ability to operate in a high-performance consulting environment and engage directly with enterprise clients.

Advantageous:

• Experience with Azure cloud services or hybrid-cloud implementations.
• Experience supporting data engineering, AI/ML, or analytics platforms on cloud.
• GCP certifications (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer).