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Senior Data Platform Engineer

Full-time

TerraBarn Inc.

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:
  • CKAD (Certified Kubernetes Application Developer)
  • AWS Certified Data Engineer
  • Google Professional Data Engineer
  • Other relevant cloud-native certifications
Vacancy posted a month ago
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