Senior Data Platform Reliability Engineer

TerraBarn Inc; Mandaluyong; On-site; PHP 1,200,000 - 2,400,000; Full time

Job summary

OpsWerks, a technical consulting company, seeks a Senior Data Platform Engineer to assume ownership of operation, reliability, and continuous improvement of data platforms running on Kubernetes (on‑premise and cloud).

You will work with DoEKS and AIoEKS, deploying updates, monitoring health, and participating in incident response while mentoring junior engineers and upholding platform standards.

Qualifications

• 3+ years supporting production data platforms (e.g., Spark, Airflow, Jupyter).
• 5+ years in ETL/ELT, data processing, and transformation (Python/Java & SQL).
• Strong Kubernetes experience (AWS EKS / GCP GKE).
• Solid understanding of Linux, microservices architecture, and service communication patterns.
• Proficient in monitoring, logging, and observability tools (Prometheus, Grafana, ELK, Splunk).

Responsibilities

• Operate, maintain, and enhance data platforms deployed on Kubernetes environments.
• Deploy platform updates, releases, and configuration changes using GitOps/DevOps practices.
• Monitor system health using logs, metrics, and observability tools to ensure high availability.
• Participate in incident response, RCA, and 24x7 on‑call rotations.
• Improve platform reliability through automation, observability, and self‑service tooling.
• Troubleshoot user and system issues, including integrations, performance bottlenecks, and misconfigurations.
• Collaborate with cross‑functional teams to ensure seamless data platform operations.
• Provide technical mentorship and guidance to junior engineers.
• Champion platform standards, security best practices, and operational excellence.

Skills

Data platforms

ETL/ELT pipelines

Kubernetes

Linux / microservices

Monitoring & observability

Tools

AWS EKS

GCP GKE

Job description

About OpsWerks
OpsWerks is a technical consulting company specializing in operational services for the high-tech industry. We partner with platform and infrastructure teams to operate multi-cloud environments, execute complex migrations, and enable seamless, scalable application deployments.

Your Role

As a Senior Data Platform Engineer, you will be responsible for the operation, reliability, and continuous improvement of data platforms running on Kubernetes (on-premise and/or AWS/GCP), including frameworks such as DoEKS (Data on EKS) and AIoEKS (AI on EKS).

Key Responsibilities

• Operate, maintain, and enhance data platforms deployed on Kubernetes environments

• Deploy platform updates, releases, and configuration changes using GitOps/DevOps practices

• Monitor system health using logs, metrics, and observability tools to ensure high availability

• Participate in incident response, root cause analysis (RCA), and 24x7 on‑call rotations

• Improve platform reliability through automation, observability, and self‑service tooling

• Troubleshoot user and system issues, including integrations, performance bottlenecks, and misconfigurations

• Collaborate with cross‑functional teams to ensure seamless data platform operations

• Provide technical mentorship and guidance to junior engineers

• Champion platform standards, security best practices, and operational excellence

Qualifications

• 3+ years experience supporting production data platforms (e.g., Spark, Airflow, Jupyter)

• 5+ years hands‑on experience in ETL/ELT pipelines, data processing, and transformation (Python/Java & SQL)

• Strong experience with Kubernetes, including managed services (AWS EKS / GCP GKE)

• Solid understanding of Linux systems, microservices architecture, and service communication patterns

• Strong troubleshooting skills (application failures, latency, scaling, resource contention)

• Proficiency in monitoring, logging, and observability tools (e.g., Prometheus, Grafana, ELK, Splunk)

Nice to Have

• Experience with modern data/AI platforms: Flink, Trino, Druid, Ray.io

• Automation and scripting skills (Bash, Python)

• Relevant certifications (e.g., CKAD, AWS Certified Data Engineer)

Why Join OpsWerks?

• Work on cutting‑edge data platforms in multi‑cloud environments

• Exposure to large‑scale, enterprise‑grade infrastructure

• Collaborative, engineering‑driven culture focused on reliability and innovation

• Opportunities for technical growth, certification, and mentorship