Azure Platform Engineer: Kubernetes & Data Platforms

Capgemini

Singapore

On-site

SGD 80,000 - 120,000

Full time

14 days+

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Job summary

A global technology partner is looking for a Platform Engineer based in Singapore. The role focuses on designing, building, and supporting scalable cloud-native data platforms on Microsoft Azure. Candidates should have strong hands-on experience with Kubernetes, Docker, and various data platforms, as well as expertise in automation using Linux and Python. Strong problem-solving skills and the ability to work in cross-functional teams are essential. Competitive compensation and opportunities for career growth are available.

Qualifications

  • Strong experience with cloud-native platforms on Microsoft Azure.
  • Hands-on expertise in Linux, Python, and Shell scripting.
  • Solid experience with Docker and Kubernetes (AKS preferred).
  • Experience supporting Apache Spark workloads in production environments.
  • Working knowledge of Iceberg, Trino, DataHub, and Ranger.
  • Experience with Azure DevOps and CI/CD pipelines.
  • Good understanding of platform security, identity, and secrets management.
  • Experience with monitoring and observability tools.

Responsibilities

  • Design, build, and maintain cloud-native data platforms.
  • Automate infrastructure and operational tasks using Linux, Python, and Shell scripting.
  • Build, manage, and optimize Docker images and containerized workloads.
  • Deploy, operate, and troubleshoot workloads on Kubernetes (AKS or equivalent).
  • Support and optimize Apache Spark and Apache Iceberg-based data platforms.
  • Work with DataHub, Trino, and Apache Ranger for metadata, query, and governance use cases.
  • Implement and maintain Azure CI/CD pipelines.
  • Ensure secure platform access using TLS/SSL, OAuth, and HashiCorp Vault.
  • Configure and manage Azure services including Blob Storage, Virtual Machines, VNETs, and AKS.
  • Implement and manage NGINX Ingress Controllers and firewall rules.
  • Monitor platforms using Prometheus and Grafana.
  • Provide production support including troubleshooting, incident resolution, and performance tuning.
  • Ensure adherence to enterprise change management and release processes.

Skills

Cloud-native platforms on Microsoft Azure
Linux
Python
Shell scripting
Docker
Kubernetes
Apache Spark
Iceberg
Trino
DataHub
Ranger
Azure DevOps
CI/CD pipelines
Monitoring tools

Job description

A global technology partner is looking for a Platform Engineer based in Singapore. The role focuses on designing, building, and supporting scalable cloud-native data platforms on Microsoft Azure. Candidates should have strong hands-on experience with Kubernetes, Docker, and various data platforms, as well as expertise in automation using Linux and Python. Strong problem-solving skills and the ability to work in cross-functional teams are essential. Competitive compensation and opportunities for career growth are available.
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