Senior Data Platform Reliability Engineer

TerraBarn Inc.

Cebu City

On-site

PHP 1,200,000 - 2,400,000

Full time

14 days+

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Benefits offered by this job

HMO

Job summary

OpsWerks is seeking a Senior Data Platform Reliability Engineer to operate, maintain, and enhance large-scale data platforms on Kubernetes across on-prem and cloud (AWS/GCP). You will collaborate with platform, infra, and data engineering teams to ensure reliability, performance, and security while supporting modern data and AI workloads.

You will deploy platform releases, monitor health, and drive automation and observability improvements, mentoring junior engineers and promoting best

Qualifications

  • 5+ years experience in ETL/ELT development, data engineering, or data platform operations.
  • 3+ years supporting production data platforms with Spark, Airflow, and Jupyter.
  • Hands-on with Python, Java, and SQL; Kubernetes on AWS EKS or GCP GKE.
  • Strong Linux, microservices, and distributed systems knowledge.
  • Experience diagnosing performance issues, bottlenecks, and scale challenges.

Responsibilities

  • Operate and improve large-scale data platforms on Kubernetes across On-Prem, AWS, and GCP.
  • Deploy releases and infra changes via GitOps and DevOps practices.
  • Monitor health, observability, logging, and performance of platforms.
  • Participate in incident management, RCA, and 24/7 rotations.
  • Develop automation, tooling, and self-service capabilities for reliability.

Skills

ETL/ELT development
Data engineering
Data platform operations
Python
Java
SQL
Kubernetes administration
AWS EKS
GCP GKE
Linux
Distributed systems
Observability/monitoring

Tools

GitOps
DevOps
Spark
Airflow
Jupyter
Flink
Trino
Druid
Ray
Bash

Job description

OpsWerks is seeking a Senior Data Platform Reliability Engineer to operate, maintain, and enhance large-scale data platforms on Kubernetes across on-prem and cloud (AWS/GCP). You will collaborate with platform, infra, and data engineering teams to ensure reliability, performance, and security while supporting modern data and AI workloads.

You will deploy platform releases, monitor health, and drive automation and observability improvements, mentoring junior engineers and promoting best

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