Senior Azure Consultant

iLaunch; Gauteng; On-site; ZAR 700 000 - 900 000; Full time

Job summary

A leading tech consulting firm is seeking an experienced Senior Azure Consultant for a 12-month contract in Gauteng. The role involves designing and managing Microsoft Azure solutions, driving cloud adoption, and leading migration projects. Candidates should have a Bachelor's degree in Computer Science or IT and over 7 years of Azure experience, including knowledge of cloud-native development and machine learning services.

Qualifications

• Matric / Grade 12.
• 7+ years of experience working in cloud environments with strong focus on Microsoft Azure.

Responsibilities

• Design, deploy and manage Microsoft Azure solutions.
• Driving cloud adoption, developing cloud strategies.
• Implementing Azure-based infrastructures.
• Plan, coordinate, and lead cloud migration projects.

Skills

Microsoft Azure solutions

Cloud adoption

Azure-based infrastructures

Cloud migration projects

Containerisation

Microservices architecture

Azure AI

Machine Learning services

Cloud-native application development

Serverless computing

Education

Bachelors degree in computer science or IT

Job description

12 Month Contract Opportunity - Based onsite in Gauteng

Established Client requires an experienced and skilled Senior Azure Consultant to join their dynamic team.

Responsibilities

• Design, deploy and manage Microsoft Azure solutions
• Driving cloud adoption, developing cloud strategies and implementing Azure-based infrastructures
• Ensuring that systems are secure, scalable, and cost-efficient
• Plan, coordinate, and lead cloud migration projects
• Work with clients to understand their business and technical requirements, and design Azure solutions to meet their needs

Requirements

• Matric / Grade 12
• Bachelors degree in computer science, Information Technology, or a related field (or equivalent experience)
• 7+ years of experience working in cloud environments, with a strong focus on Microsoft Azure
• Experience with Azure AI and Machine Learning services
• Familiar with containerisation and microservices architecture in Azure
• Knowledge of cloud-native application development and serverless computing