Uni Internship Jan to July 2027 - AI-Driven Cloud Operations: Automation and Intelligence

Date: 6 Jul 2026

Location: SG

Company: Synapxe

Join Synapxe as an intern and see how you can contribute in powering a healthier Singapore. Internship@Synapxe is where curiosity meets impact! You would be able to gain practical experience, hone your skills, and be part of meaningful work that improves health through technology! 

 

The intern will join the cloud team and support the design and prototype of AI-driven solutions to automate routine tasks, improve incident response, and generate SOPs. The role also involves analyzing operational data to identify patterns and support data-driven decisions, contributing to AI integration with cloud platforms to enhance efficiency, reliability, and knowledge management.

 

The selected intern(s) will assist in following:

 

1) AI & Automation Development

  • Design and prototype Generative AI agents for cloud operation tasks (e.g., incident triage, alert summarization, automation scripts)
  • Integrate AI capabilities with cloud tools (e.g., monitoring systems, ticketing platforms, DevOps pipelines)
  • Experiment with prompt engineering, fine-tuning, or orchestration of AI workflows

 

2) Cloud Operations Optimization

  • Analyze existing cloud infrastructure processes and identify opportunities for automation and optimization.
  • Assist in developing AI-assisted runbooks for common operational scenarios.
  • Support implementation of process improvements using scripting or automation frameworks.

 

3) Documentation & Knowledge Management

  • Use AI tools to generate, refine, and standardize Standard Operating Procedures (SOPs).
  • Ensure documentation is structured, version-controlled, and easily reusable.
  • Evaluate the accuracy and usability of AI-generated documentation.

 

4) Data Mining & Analytics

  • Perform data mining on cloud logs, system metrics, and operational datasets.
  • Apply statistical analysis techniques to identify patterns, anomalies, or performance bottlenecks.
  • Visualize findings using dashboards or reporting tools.

 

5) Research & Innovation

  • Explore emerging trends in AI agents, cloud automation, and AIOps.
  • Contribute ideas and proof-of-concepts for innovative AI applications.
  • Document findings, methodologies, and project outcomes.

 

About You:

 

  • Undergraduate currently in Year 2 or Year 3, pursuing a degree in Computer Science, Computer Engineering, Information Systems, Business Artificial Intelligence Systems, Information Engineering & Media, or a related discipline
  • Familiarity with programming or scripting languages such as Python, JavaScript, or PowerShell
  • Basic understanding of cloud computing concepts (e.g. AWS, Azure, containerisation, cloud services)
  • Exposure to automation, DevOps, CI/CD pipelines, or infrastructure automation concepts is an advantage
  • Familiarity with data analytics, data mining, or visualisation tools (e.g. Power BI, Tableau) is a plus
  • Strong analytical and problem-solving skills, with the ability to interpret data and identify improvement opportunities
  • Keen interest in AI, cloud technologies, automation, and emerging technologies
  • Good communication and documentation skills, with the ability to present technical findings clearly
  • Proactive, self-motivated, and willing to learn in a fast-paced environment
  • Ability to work independently and collaboratively in a multidisciplinary team

 

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