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Data Platform Reliability Engineer

Asian Technology Solutions · Mandaluyong

# Data Platform Reliability Engineer **Asian Technology Solutions** · Mandaluyong · `On-site` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Indeed* --- ### About the Role 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

Наблюдалась 2026-10-06, впервые 2026-10-06, источник — Indeed.

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