Senior Data Platform Engineer

TerraBarn Inc.; Cebu City; On-site; PHP 1,200,000 - 2,400,000; Full time

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

On-site - Cebu 3-5 Yrs Exp Bachelor Full-time

Job Description

Government Mandated Benefits

Insurance Health & Wellness

HMO

Location: Manila or Cebu (Onsite)

About OpsWerks

OpsWerks is a technology consulting company specializing in cloud operations, platform engineering, and infrastructure modernization. We help leading organizations build, operate, and scale mission-critical platforms across multi-cloud environments, enabling reliable application delivery, seamless migrations, and operational excellence.

About the Role

We are looking for a Senior Data Platform Reliability Engineer to join our growing team. In this role, you will be responsible for operating, maintaining, and continuously improving large-scale data platforms running on Kubernetes across on-premises and cloud environments (AWS/GCP).

You will work closely with platform, infrastructure, and data engineering teams to ensure platform reliability, performance, scalability, and security while supporting modern data and AI workloads.

Key Responsibilities

• Manage and support production-grade data platforms running on Kubernetes (On-Prem, AWS EKS, or GCP GKE)
• Deploy platform releases, infrastructure updates, and configuration changes through GitOps and DevOps practices
• Monitor platform health, availability, and performance using observability, logging, and monitoring tools
• Participate in incident management, root cause analysis (RCA), and 24/7 operational support rotations
• Diagnose and resolve platform, integration, and user-related issues while implementing preventive measures
• Develop and enhance automation, operational tooling, and self-service capabilities to improve platform reliability
• Optimize platform observability, scalability, resilience, and operational efficiency
• Collaborate with cross-functional teams to ensure successful platform operations and service delivery
• Mentor junior engineers and promote engineering best practices
• Advocate for security standards, platform governance, and operational excellence

Qualifications

Required Skills & Experience

• At least 5 years of experience in ETL/ELT development, data engineering, or data platform operations
• Minimum 3 years of experience supporting production data platforms and workloads such as Spark, Airflow, and Jupyter
• Strong hands-on experience with Python, Java, and SQL
• Practical experience administering Kubernetes environments, including AWS EKS and/or Google GKE
• Strong knowledge of Linux systems, microservices architecture, and distributed systems
• Experience troubleshooting application failures, resource bottlenecks, service latency, and scaling issues
• Proficiency in analyzing logs, metrics, monitoring systems, and operational KPIs
• Strong problem-solving, communication, and stakeholder management skills

Nice-to-Have Qualifications

• Experience with modern data and AI platforms such as Flink, Trino, Druid, Ray, or similar technologies
• Hands-on scripting and automation experience using Python and/or Bash
• Cloud, Kubernetes, or Data Engineering certifications such as:
• Google Professional Data Engineer
• Other relevant cloud-native certifications