AWS Cloud Operations Engineer - Automation & Uptime

DeKalb County Economic Development Corporation (DCEDC)

Singapore

On-site

SGD 90,000 - 130,000

Full time

7 days ago
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Job summary

DeKalb County Economic Development Corporation (DCEDC) in Singapore seeks an Operations Engineer for AWS Managed Services to join a global cloud operations team. You will contribute to reliable infrastructure and support customers by ensuring robust deployments and rapid incident response.

The role emphasizes deep OS, networking, and automation skills, with opportunities to optimize performance across AWS services, monitor resources at scale, and grow with a dynamic, security-conscious

Responsibilities

  • Operate the Managed Service platform and collaborate with internal service teams to meet our customers' individual needs for their infrastructure and application deployments.
  • Troubleshoot application deployments, reproduce customer issues, and build proof of concept applications. Apply advanced troubleshooting techniques to provide unique solutions to our customers' individual needs
  • Work on critical, highly complex customer problems that will span multiple AWS services.
  • Help build and maintain Cloud Formation templates, and scripts to automate and deploy AWS resources and configuration changes.
  • Collaborate and help build utilities and tools for internal use that enable you and your fellow AWS Engineers to operate safely at high speed and wide scale.
  • Leverage your day-to-day experiences to provide the voice of the customer to internal AWS teams.
  • Drive customer communication during critical events.
  • Learn and leverage emerging technologies.

Job description

DeKalb County Economic Development Corporation (DCEDC) in Singapore seeks an Operations Engineer for AWS Managed Services to join a global cloud operations team. You will contribute to reliable infrastructure and support customers by ensuring robust deployments and rapid incident response.

The role emphasizes deep OS, networking, and automation skills, with opportunities to optimize performance across AWS services, monitor resources at scale, and grow with a dynamic, security-conscious

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