Senior Data Platform Reliability Engineer — Kubernetes SRE

ATS CONSULTING SERVICES PH INC.; Mandaluyong; On-site; PHP 1,800,000 - 2,400,000; Full time

Job summary

ATS CONSULTING SERVICES PH INC. is seeking a Senior Data Platform Engineer to operate, maintain, and enhance our data platforms on Kubernetes, both on‑premises and in AWS/GCP. You will work on DoEKS‑like deployments and help drive reliability and observability across the stack.

Responsibilities include deploying releases via GitOps, monitoring health, incident response, and mentoring junior engineers while promoting security and best practices in platform engineering.

Qualifications

• 3+ years supporting production data workloads (Spark, Airflow, Jupyter).
• 5+ years ETL/ELT development and data transformations (Python/Java/SQL).
• Proficient in Kubernetes environments, incl. EKS/GKE.
• Strong Linux knowledge; microservices and inter-service communication.
• Troubleshooting crashes, contention, latency, and scaling.
• Skilled in analyzing logs, metrics, and KPIs.
• Exposure to Flink, Trino, Druid, Ray.
• Automation/scripting with Bash and Python.
• CKAD and AWS Certified Data Engineer certifications.

Responsibilities

• Deploy releases and configuration changes via GitOps/DevOps.
• Monitor platform health with logs, metrics, and observability tools.
• Participate in incident response, root cause analysis, and 24x7 rotations.
• Improve observability, tooling, self-service capabilities, and reliability practices.
• Investigate and troubleshoot user issues and recommend resolutions.
• Provide technical mentorship to junior engineers.
• Advocate for platform standards, security best practices, and operational excellence.

Skills

Spark

Airflow

Jupyter

Python

Java

SQL

Kubernetes

Linux

Bash

CKAD

AWS Certified Data Engineer

Git

CI/CD

Tools

Git

CI/CD

Job description

ATS CONSULTING SERVICES PH INC. is seeking a Senior Data Platform Engineer to operate, maintain, and enhance our data platforms on Kubernetes, both on‑premises and in AWS/GCP. You will work on DoEKS‑like deployments and help drive reliability and observability across the stack.

Responsibilities include deploying releases via GitOps, monitoring health, incident response, and mentoring junior engineers while promoting security and best practices in platform engineering.