SR. Data Platform Reliability Engineer/Data SRE (Permanent)- Onsite

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

Job summary

ATS CONSULTING SERVICES PH INC. is seeking a Senior Data Platform Engineer to operate, maintain, and improve data platforms running on Kubernetes across on-premise and cloud environments. You will work with DoEKS/AIoEKS deployment frameworks and drive reliability.

You will deploy via GitOps, monitor health, participate in incident response, mentor junior engineers, and advocate for security and platform standards while expanding observability and self-service tooling.

Qualifications

• 3+ years running production data workloads and platforms.
• 5+ years ETL/ELT development with Python/Java/SQL.
• Kubernetes experience including AWS-EKS/GCP-GKE.
• Strong Linux, microservices and service communication skills.
• Troubleshooting performance, resource contentions and scaling.
• Experience with logs, metrics and observability for KPIs.
• Exposure to Flink, Trino, Druid or Ray.
• Automation or scripting in Bash or Python.

Responsibilities

• Deploy releases and configuration changes through GitOps/DevOps.
• Monitor platform health using logs, metrics, and observability tools.
• Participate in incident response, RCA and 24x7 rotations.
• Improve observability, tooling, automation and self-service.
• Troubleshoot user concerns and provide resolutions.
• Mentor junior engineers and share knowledge.
• Advocate for platform standards and security practices.

Skills

Data workloads

Kubernetes

Python

Java

SQL

Linux

Observability

GitOps

Tools

CKAD

AWS Data Eng

Job description

About the role

As a Senior Data Platform Engineer, you will be responsible for operating, maintaining, and continuously improving the company's data platforms running on Kubernetes (On-premise and/or on AWS/GCP) - similar on the DoEKS (Data on EKS) / AIoEKS (AI on EKS) deployment frameworks.

Key responsibilities

• Deploy new releases and configuration changes through GitOps/DevOps
• Monitor platform and service health using logs, metrics, and observability tools
• Participate in incident response, root cause analysis and 24x7 operational rotations
• Improve platform observability, operational tooling/automations, self-service capabilities and reliability practices to reduce recurring issues
• Investigate & troubleshoot user concerns by either correlating them to system-related issues, breaking integrations and/or user-specific errors/misconfigurations up to recommending/executing resolutions
• Provide technical mentorship to junior engineers
• Advocate for platform standards, security best practices, and operational excellence

About you

• 3+ years of solid experience supporting production data workloads/platforms (Spark/Airflow/Jupyter)
• 5+ years of hands-on experience on ETL/ELT pipeline development & data transformations (Python/Java & SQL)
• Practical proficiency in Kubernetes environments including Cloud-provider managed Kubernetes flavors (AWS-EKS/GCP-GKE)
• Comprehensive knowledge on Linux environments, microservice architectures and service communication patterns
• Strong troubleshooting fundamentals such as application crashes, resource contentions, service latency, and scaling behavior
• Well-rounded competency in analyzing logs, metrics, monitoring systems, and service KPIs
• Exposure in other Data/AI platforms such as Flink, Trino, Druid and Ray
• Hands-on experience with automation or scripting (Bash, Python)
• Kubernetes or Data certifications (CKAD, AWS Certified Data Engineer)