Lead Cloud Solutions Architect - AI Infrastructure

Placements24; Cape Town; Híbrido; ZAR 1.200.000 - 1.800.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Flexible work schedule

Generous leave policies

Comprehensive health insurance

Learning and development opportunities

Descripción de la vacante

Placements24 is seeking a Lead Cloud Solutions Architect in Cape Town to design and implement scalable, secure AI-ready cloud infrastructures. You will guide a team of engineers, align cloud strategy with AI/ML workloads, and optimize performance and cost across AWS, Azure, or GCP.

Ideal candidates have deep cloud expertise, containerization knowhow, and experience delivering AI platforms with IaC automation.

Formación

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Extensive experience in cloud architecture, with a strong focus on AWS, Azure, or GCP.
• Proven experience designing and managing infrastructure for AI/ML projects, including MLOps practices.
• In-depth knowledge of containerization technologies (Docker, Kubernetes).
• Familiarity with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience with CI/CD pipelines and infrastructure automation.
• Strong understanding of networking, security, and data storage in cloud environments.
• Excellent communication and interpersonal skills; able to work in a hybrid team.
• Cloud certifications (e.g., AWS Solutions Architect, Google Professional Cloud Architect) desirable.

Responsabilidades

• Design scalable, resilient, and secure cloud infrastructure for AI/ML workloads.
• Develop architectural blueprints, standards, and best practices for cloud-based AI platforms.
• Collaborate with data scientists, ML engineers, and software developers to understand infrastructure needs.
• Lead migration of AI workloads to the cloud and optimize for cost and performance.
• Evaluate and select cloud services and technologies for AI/ML applications.
• Develop and implement IaC solutions using Terraform or CloudFormation.
• Provide technical leadership and mentor junior architects and engineers.
• Ensure compliance with security and governance policies.
• Troubleshoot and resolve complex infrastructure issues affecting AI pipelines.

Conocimientos

Cloud architecture

MLOps

Docker

Kubernetes

CI/CD pipelines

Networking & security

Data storage

Communication skills

Educación

Bachelor's or Master's in CS/Engineering

Herramientas

Terraform

CloudFormation

Descripción del empleo

About the Role

Our client, a leader in cloud-native solutions, is looking for an experienced Lead Cloud Solutions Architect to spearhead the design and implementation of robust AI infrastructure. This role is based in the vibrant city of **Cape Town**, with a flexible hybrid work arrangement, allowing for a balance between collaborative office time and remote work. You will be responsible for architecting scalable, secure, and high-performance cloud environments tailored for demanding AI and machine learning workloads. This is a critical position requiring a blend of deep technical expertise in cloud platforms and a strong understanding of the unique requirements for AI development and deployment. You will guide technical direction and mentor a team of talented engineers.

Key Responsibilities

• Design and implement scalable, resilient, and secure cloud infrastructure (AWS, Azure, or GCP) optimized for AI/ML workloads.
• Develop and maintain architectural blueprints, standards, and best practices for cloud-based AI platforms.
• Collaborate with data scientists, ML engineers, and software developers to understand their infrastructure needs and provide tailored solutions.
• Lead the migration of existing AI workloads to the cloud and optimize for cost and performance.
• Evaluate and select appropriate cloud services and technologies for AI/ML applications, including compute, storage, networking, and managed AI services.
• Develop and implement infrastructure-as-code (IaC) solutions using tools like Terraform or CloudFormation.
• Provide technical leadership and mentorship to junior architects and engineers.
• Ensure compliance with security and governance policies.
• Troubleshoot and resolve complex infrastructure issues affecting AI/ML pipelines.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Extensive experience in cloud architecture, with a strong focus on AWS, Azure, or GCP.
• Proven experience designing and managing infrastructure for AI/ML projects, including MLOps practices.
• In-depth knowledge of containerization technologies (Docker, Kubernetes).
• Familiarity with various AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with CI/CD pipelines and infrastructure automation.
• Strong understanding of networking, security, and data storage solutions in cloud environments.
• Excellent communication, presentation, and interpersonal skills.
• Ability to work effectively in a hybrid team environment.
• Relevant cloud certifications (e.g., AWS Certified Solutions Architect Professional, Google Professional Cloud Architect) are highly desirable.

Benefits

• competitive salary and an attractive benefits package designed to support your well-being and professional growth
• flexible work schedule
• generous leave policies
• comprehensive health insurance
• opportunities for continuous learning and development