Duration: 2 - 4 Months
Internship Type: Undergraduate, Pre-University
As a Network Reliability Engineer intern, you have the opportunity to design, build, and/or improve a range of software-defined network services. You will work closely under the guidance of a mentor to deliver a product that meet user requirements.
More About Network Reliability Engineer Intern Role
- Implement, operate and optimise modernised and virtualised network infrastructure to ensure scalable, sustainable and secure operations
- Implement architectural standards, reference models and guidelines that enhance security, resiliency and scalability
- Evaluate and implement network technologies that meet users’ needs and aligned with the industry development
- Provide network consultation to project teams for product deployment, working with various stakeholders to resolve technical problems and optimise network performance using data-driven insights and SRE practices
Broad Project Scope/Deliverables
- Design & build a proof-of-concept or prototype software-defined networking services that can be readily deployed
- Develop automation scripts to improve network provisioning and deprovisioning
- Enhance our network monitoring and alerting system
- Document the findings of various technologies explored, and presentation to management and users of your product
Prerequisites/Skills Required
- Experience with scripting languages like Python and experience with automation tools like Ansible
- Experience in cloud networking technologies such as network function virtualisation (NFV), network routing protocols and micro-segmentation
- Knowledge of open-source observability framework and monitoring and logging stack like ELK
- Self-motivated and eager to learn
In your application, please submit the following documents in a single PDF file for 'Resume/CV':
1. Resume/CV
2. All Education Certificates to-date (from secondary to tertiary education)
- GCE 'O'/'N' Levels, NITEC
- Prelim/GCE 'A' Levels, IB/Diploma
- Latest university transcript from Year 1 (for current undergraduates)
3. Student Status Letter/Degree Audit (for current undergraduates)
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
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