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Data Platform Reliability Engineer

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Onsite

Data Platform Reliability Engineer

Asian Technology Solutions

Data Platform Reliability Engineer

Skills

Google Cloud PlatformSQL QueriesPythonJavaMicroservicesAIAWSLinuxKubernetesApache Airflow

14 days ago

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Important information


Contract type:

Permanent

Location:

Mandaluyong City, Metro Manila, Philippines

Work mode:

Onsite

Published on:

6 October 2026

What they need


Your Role
As a Senior Data Platform Engineer, you will be responsible for operating, maintaining, and continuously improving the company’s data platforms running on Kubernetes (On-
premise and/or on AWS/GCP) - similar on the DoEKS (Data on EKS) / AIoEKS (AI on EKS) deployment frameworks
 Deploy new releases and configuration changes through GitOps/DevOps
 Monitor platform and service health using logs, metrics, and observability tools
 Participate in incident response, root cause analysis and 24x7 operational rotations
 Improve platform observability, operational tooling/automations, self-service capabilities and reliability practices to reduce recurring issues
 Investigate & troubleshoot user concerns by either correlating them to system- related issues, breaking integrations and/or user-specific errors/misconfigurations up to recommending/executing resolutions
 Provide technical mentorship to junior engineers
 Advocate for platform standards, security best practices, and operational excellence
Your Qualifications
 3+ years of solid experience supporting production data workloads/platforms (Spark/Airflow/Jupyter)
 5+ years of hands-on experience on ETL/ELT pipeline development & data transformations (Python/Java & SQL)
 Practical proficiency in Kubernetes environments including Cloud-provider managed Kubernetes flavors (AWS-EKS/GCP-GKE)
 Comprehensive knowledge on Linux environments, microservice architectures and service communication patterns
 Strong troubleshooting fundamentals such as application crashes, resource contentions, service latency, and scaling behavior
 Well-rounded competency in analyzing logs, metrics, monitoring systems, and service KPIs
Plus points if you have:
 Exposure in other Data/AI platforms such as Flink, Trino, Druid and Ray.I
 Hands-on experience with automation or scripting (Bash, Python)
 Kubernetes or Data certifications (CKAD, AWS Certified Data Engineer)

Pay: Php100,000.00 - Php150,000.00 per month

Benefits:

  • Flexible schedule
  • Health insurance
  • On-site parking

Work Location: In person

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