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Virtusa

IT Infrastructure Engineer

Virtusa

Singapore · Tempo pieno

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Esperienza
5–7 yrs
Stipendio
Aperture
1
Pubblicato
1 ora fa
Modalità di lavoro
In ufficio
Riprendere
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Dove lavorerai

Descrizione del lavoro

IT Infrastructure Engineer - ETL Role Overview

We are seeking an experienced IT Infrastructure Engineer with expertise in ETL and related technologies to join our team. The ideal candidate will have a strong background in infrastructure and platform engineering, with hands-on experience in data integration, network management, and security practices.

Key Responsibilities and Skills

  • Apply 5 to 7 years of experience in infrastructure engineering, platform management, or systems administration to maintain and enhance IT environments.
  • Utilize practical knowledge of data integration platforms, API connectors, and ETL/ELT tools to support data workflows.
  • Demonstrate a solid grasp of networking essentials, including firewalls, DNS, proxy servers, and VPN setup and configuration.
  • Manage service accounts, API authentication tokens, certificates, and the lifecycle of credentials within enterprise settings.
  • Adopt infrastructure as code methodologies employing tools such as Terraform and Ansible for environment automation.
  • Troubleshoot sophisticated integration challenges that span network, authentication protocols, and application layers.

Preferred Experience

  • Knowledge of cyber asset management solutions like Axonius, Armis, ServiceNow CMDB, or Qualys.
  • Understanding cybersecurity essentials such as attack surface management, vulnerability assessments, and asset discovery processes.
  • Familiarity with the Singapore government IT infrastructure, particularly Government Commercial Cloud (GCC) and Whole-of-Government (WOG) shared services.
  • Experience with container technologies and orchestration platforms including Docker and Kubernetes.
  • Exposure to monitoring tools and observability platforms like Prometheus, Grafana, and the ELK stack.
  • Collaborative experience working within cross-functional teams including data engineers and business analysts.

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