Automation & Cloud Ops Intern: Python, AWS & Observability

NETS

Singapore

On-site

SGD 17,000 - 23,000

Full time

14 days+
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Job summary

NETS is seeking driven and curious interns to gain hands-on experience in a real enterprise environment. This role focuses on automation, DevOps, observability, and asset discovery, offering exposure to modern tech stacks.

As an intern, you will develop Python scripts, explore AWS services, contribute to monitoring and logging, keep documentation up to date, and collaborate with cross-functional teams. Start date January 2027; full-time commitment required.

Qualifications

  • Pursuing a Bachelor’s degree in CS/IT or related field.
  • Basic hands-on experience with Python for automation.
  • Basic understanding of AWS/cloud services (EC2, S3, IAM) is an advantage.
  • Exposure to DevSecOps practices, including CI/CD pipelines.
  • Available to commence internship from January 2027, Full Time.

Responsibilities

  • Develop and maintain Python scripts for automation and operational tasks.
  • Assist in working with AWS services in a hybrid environment.
  • Contribute to observability initiatives using Elastic and Dynatrace.
  • Participate in asset discovery and reconciliation.
  • Create and maintain technical documentation and knowledgebase.
  • Work on small projects or improvements that add real value.
  • Collaborate with cross-functional teams across different domains.

Skills

Python scripting
AWS knowledge
DevSecOps interest
Observability tools
Analytical skills
Teamwork

Education

Pursuing Bachelor's in Computer Science/IT

Tools

Elastic
Dynatrace
CI/CD tooling
AWS basics

Job description

NETS is seeking driven and curious interns to gain hands-on experience in a real enterprise environment. This role focuses on automation, DevOps, observability, and asset discovery, offering exposure to modern tech stacks.

As an intern, you will develop Python scripts, explore AWS services, contribute to monitoring and logging, keep documentation up to date, and collaborate with cross-functional teams. Start date January 2027; full-time commitment required.

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