Systems Analyst – Store Operations responsible for maintaining business processes and systems impacting Store Operations technology landscape such as Point of Sale.
Manage complex production incidents, lead technical investigations, and perform root-cause analyses to prevent recurring issues and improve service reliability.
Define and enhance monitoring and observability strategies, including metrics, logs, dashboards, alerting, and proactive issue detection.
Design and maintain monitoring solutions using platforms such as Prometheus, Grafana, Zabbix, Splunk, and Datadog.
Monitor and optimise system performance, availability, scalability, and resilience across distributed and cloud-native environments.
Support and troubleshoot Linux/Unix systems and containerised environments, leveraging technologies such as Kubernetes, Docker, and OpenShift.
Requirements
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
The role involves being an AI Data Engineer focused on AWS, Python, and Agentic AI to build agentic workflows, MCP servers, and scalable data pipelines.
Responsibilities
Use Strands Agents SDK or comparable agent-development frameworks/SDKs
Designing and building MCP servers, tools, and integrations
Creating reusable Kiro steering rules, specifications, development patterns, and engineering standards
Building agentic workflows and tool orchestration, particularly where AI agents interact with AWS services, data platforms, APIs, and enterprise systems
Applying AI-assisted engineering throughout the SDLC, from requirements/specification → code generation → review/testing → deployment and operational support
Requirements
Nice to have: TypeScript
Nice to have: Model Context Protocol (MCP)
Nice to have: AWS Certified Data Engineer, Developer, or Solutions Architect
Provides technical assistance and rapid issue resolution for trading systems, hardware, and applications used by front-office personnel on the trading floor.
Responsibilities
Provide real-time technical support for traders and front-office staff, resolving issues related to trading platforms, market data feeds, hardware, and network connectivity.
Monitor the health and performance of trading systems and escalate incidents as needed.
Collaborate with infrastructure, application, and networking teams to troubleshoot and resolve problems.
Document recurring issues and contribute to the creation of support guides and knowledge bases.
Ensure minimal downtime and maintain compliance with operational and regulatory standards.
Provide remote technical support to Atlas Technica Team Members across internal systems, applications, devices, and workplace technologies, and administer and improve internal IT platforms.
Locations (2)
Cape Town, Western Cape, South Africa
Lima, Peru
Responsibilities
Provide remote technical support to Atlas Technica Team Members across internal systems, applications, devices, and workplace technologies
Support employee onboarding, offboarding, access provisioning, account administration, and other internal technology lifecycle activities
Administer and support Microsoft 365 technologies, including Exchange Online, Microsoft Teams, SharePoint Online, Microsoft Intune, and Microsoft Entra ID
Troubleshoot employee issues involving Microsoft Windows, Microsoft Office applications, authentication, connectivity, collaboration tools, and other internal business applications
Manage and support systems, applications, and tools used by Atlas Team Members to perform their day-to-day responsibilities
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