Technology Operations Executive
Job Summary
The Technology Operations Executive supports digital systems, internal tools, automation workflows, and IT infrastructure. This role focuses on hands-on technical work involving software development, IT support, and data analytics. You will work on practical projects to enhance business operations and digital transformation initiatives.
Responsibilities
- Develop and maintain internal software and automation workflows.
- Manage network infrastructure, cloud servers, and system security.
- Leverage AI and analytics tools for data-driven insights.
- Create simulations for performance testing and decision support.
Required Skills
- Nitec/Higher Nitec in IT or related fields.
- Proficiency in Python, JavaScript, C#, Java, or PHP.
- Experience with APIs, databases, and dashboards.
- Strong problem-solving and communication skills.
Job Details
Roles and Responsibilities
Software Development & Automation
- Design, develop, and maintain in-house software applications to support business operations.
- Implement automation solutions to improve efficiency in workflows and IT processes.
- Develop and maintain APIs, scripts, and system integrations.
Networking & Server Management
- Configure, monitor, and maintain network infrastructure, servers, and cloud environments.
- Ensure security, reliability, and performance of IT systems.
- Manage data backups, disaster recovery plans, and IT compliance.
Applied AI & Analytics
- Develop data-driven insights by leveraging AI, machine learning, and analytics tools.
- Implement predictive analytics and automation for system optimizations.
- Work with data visualization tools to present key business metrics.
Simulations & System Optimization
- Develop and maintain simulations for testing and training purposes.
- Optimize system performance through real-world scenario modelling.
- Utilize simulation tools and frameworks to enhance decision-making.
Requirements
- Nitec or Higher Nitec in IT, Computer Science, Software Engineering, Information Systems, Data Analytics, Engineering, or related fields.
- Basic to intermediate coding skills in Python, JavaScript, C#, Java, PHP, or similar.
- Familiarity with databases, APIs, spreadsheets, dashboards, or reporting tools.
- Interest in software development, automation, digital systems, AI tools, analytics, or simulations.
- Strong problem-solving mindset, good communication skills, and can-do attitude.