Cloud Engineer (AWS)

  • Pasona Singapore Pte. Ltd.
  • Tanjong Pagar, Singapore
  • 1 days ago
  • SGD 6000 - SGD 6800
  • Full Time
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Role Description

The Cloud Engineer will be responsible for designing, implementing, and maintaining cloud infrastructure and backend services, contributing to architecture decisions with senior engineers. This is a hands-on cloud/backend role supporting our telematics data platform — you’ll work across infrastructure, data pipelines, and integration APIs.

We are looking for someone who is proactive and collaborative, with strong ownership and a practical approach to solving production problems.

  • Build and maintain AWS infrastructure for our telematics analytics platform using Infrastructure as Code (IaC) principles
  • Develop and optimize Python services, SQL schemas, and data workflows
  • Implement security, monitoring, and cost controls following team standards
  • Build & maintain APIs/SDKs that enable secure client integration with our platform
  • Collaborate with data, product and business teams to develop innovative cloud solutions.

Requirement

  • At least 2–3 years of professional experience in cloud engineering, backend development, or data/platform engineering.
  • Bachelor’s degree in Computer Science, Computer Engineering, Data Science, or related field
  • Minimally 2 years of experience in Python
  • Minimally 1-2 years of hands-on experience building and maintaining AWS services in production
  • Strong understanding of database schema design and SQL querying
  • Experience with Git/GitLab and CI/CD pipelines
  • Knowledge of AWS Cloud principles and the well-architected framework.

NiceToHave

  • Programming Languages: Python
  • AWS: Lambda, RDS, S3, Step Functions, API Gateway, CloudFormation, CloudFront, VPC, CloudWatch, SNS/Eventbridge
  • Database Technologies: SQL, Database Schema Design
  • Additional Skills: AWS Cloud Security, GitLab, Git

Preferred Qualitifactions

  • AWS certifications is a plus
  • Experience integrating AI/ML capabilities into applications is a plus
  • Experience building dashboards, internal tools, or web-based data visualization interfaces is a plus
  • Knowledge of Machine Learning and Data Analytics concepts is a plus

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