Cloud Engineer

• Combining full-stack web application development with Microsoft cloud and infrastructure support, this hybrid role plays a core function in driving internal software solutions and maintaining modern IT operations.
• Responsible for designing custom internal applications, building APIs, and delivering hands-on support across Azure, Microsoft 365, and network environments.
• Design, develop, and maintain clean, scalable internal web applications and REST APIs.
• Develop, troubleshoot, and optimize MySQL databases.
• Perform application testing, deployments, code debugging, and architectural documentation.
• Administer and support Microsoft 365 services, including Exchange Online, Teams, SharePoint Online, and OneDrive.
• Manage directory services, hybrid identities, and network governance using Active Directory, Microsoft Entra ID (Azure AD), Group Policy, DNS, DHCP, and LDAP.
• Support Windows Server infrastructure, IIS web servers, SSL certificates, and core networking fundamentals.
• Execute PowerShell and Bash scripts to drive process automation and task scheduling.
• Provide technical user support across Microsoft Office environments and remote platforms.
• Utilize AI-assisted development tools (such as Copilot, ChatGPT, or Claude) to optimize workflows.

Software Developer – Azure Support Engineer

• Manage and support the Active Directory environment
• Manage core services, ADFS and Certificate Management
• Develop and maintain technical documents, operational procedures, and security standards
• Highlight and implement opportunities to mature self-service and automation capabilities
• Removal of any manual processes
• Take ownership of projects and enhancements
• Ensure platform performance is in line with requirements
• Maintain hardware and software standards, asset inventories
• Act as a technical escalation point to the Support Teams

Active Directory Cloud Engineer

• Design, deploy, and manage scalable cloud infrastructure using Microsoft Azure.
• Build and maintain secure, highly available, and resilient cloud environments that support enterprise applications and data platforms.
• Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools such as Terraform, Bicep, or ARM templates.
• Develop and maintain CI/CD pipelines to enable automated deployment of cloud resources and applications.
• Implement cloud security best practices, including identity and access management, network security, encryption, and compliance controls.
• Monitor cloud environments to ensure optimal performance, availability, and cost efficiency using Azure Monitor, Log Analytics, and Application Insights.
• Support the integration of cloud platforms with enterprise systems, APIs, and third-party services.
• Collaborate with Data Engineers to provide cloud infrastructure that supports scalable data pipelines, analytics platforms, and business intelligence solutions.
• Optimize cloud resource utilization through performance tuning, capacity planning, and cost management initiatives.
• Troubleshoot infrastructure, networking, and cloud platform issues while ensuring minimal service disruption.
• Maintain cloud governance standards, backup strategies, disaster recovery solutions, and business continuity plans.
• Produce and maintain technical documentation, operational procedures, and architecture diagrams.
• Stay current with emerging Azure technologies and recommend improvements to enhance platform capability and operational efficiency.

• Resolve incidents and service requests within agreed service levels
• Implement approved changes and service improvements
• Administer and maintain Microsoft cloud environments
• Perform technical troubleshooting and root cause analysis
• Monitor customer environments and proactively identify issues
• Create and maintain technical documentation
• Support automation and standardization initiatives
• Collaborate with colleagues across multiple customer teams
• Participate in knowledge-sharing and continuous improvement activities
• Participate in an on-call rotation when required

Cloud Engineer, L3

• Resolve incidents and service requests within agreed service levels.
• Implement approved changes and service improvements.
• Administer and maintain Microsoft cloud environments.
• Perform technical troubleshooting and root cause analysis.
• Monitor customer environments and proactively identify issues.
• Create and maintain technical documentation.
• Support automation and standardization initiatives.
• Collaborate with colleagues across multiple customer teams.
• Participate in knowledge-sharing and continuous improvement activities.
• Participate in an on-call rotation when required.

• Optimize and enhance existing data pipelines, ETL processes, and data workflows to improve performance, scalability and reliability.
• Implement best practices for data processing, storage, and retrieval.
• Implement automated testing within Databricks using frameworks such as pytest and nutter: write unit tests for notebooks and PySpark transformations, integration tests across pipeline stages, and data quality assertions, with results surfaced through CI/CD pipelines.
• Design, implement and maintain algorithms to solve technical problems related to data processing and analytics.
• Collaborate with data scientists to support and optimize machine learning algorithms and models in production.
• Assist to benchmark and ensure efficient use of computational resources for data processing and algorithm execution.
• Design and implement AI agentic workflows that automate multi-step data tasks: orchestrate LLM-powered agents to perform data discovery, anomaly investigation, and automated root-cause analysis within the data platform.
• Apply prompt engineering and model evaluation practices when integrating large language models into data pipelines; enforce responsible-AI guardrails including output validation and human-in-the-loop review for high-impact decisions.
• Design, implement and maintain solutions for data integration from various sources, ensuring data consistency and integrity.
• Work on data ingestion and transformation processes to support analytics and reporting needs.
• Validate integrated data using Databricks-native testing approaches: apply Delta Live Tables expectations, Great Expectations, or equivalent data quality frameworks to enforce schema, completeness, and accuracy contracts at ingestion.
• Work closely with the technical product owner to understand business requirements and translate them into technical solutions.
• Provide technical support and guidance to other team members regarding data-related issues.
• Work closely with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
• Help to document key processes and services for the purposes of sharing the load and approach to technical support related issues.
• Work in conjunction with the BI Engineering to develop and maintain both product and internal dashboards and reports.
• Interpret data to provide meaningful insights and recommendations to stakeholders.
• Work closely with business teams to understand their and customer reporting needs and deliver tailored solutions.
• Ensure data accuracy and integrity in all reports and dashboards.

Cloud Engineer jobs in South Africa

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Software Developer – Azure Support Engineer

Active Directory Cloud Engineer

Cloud Engineer

Cloud Engineer, L3

Cloud Engineer

Cloud and Data Engineer