Senior Data Platform Reliability Engineer (Kubernetes)

Hammerjack Pty Ltd; Philippines; On-site; PHP 1,800,000 - 2,400,000; Full time

Job summary

Hammerjack Pty Ltd is seeking a Senior Data Platform Engineer to operate and improve data infrastructure spanning on-premise and cloud (AWS/GCP) with Kubernetes. You will deploy via GitOps, monitor health, and participate in 24x7 rotations while mentoring juniors and upholding platform standards.

Key focus areas include robust observability, automation, and reliable service delivery across multi-cloud deployments, with emphasis on efficient incident response and scale-aware architectures.

Qualifications

• 3+ years of solid experience supporting production data workloads/platforms (Spark/Airflow/Jupyter).
• 5+ years of hands-on ETL/ELT development & data transformations (Python/Java & SQL).
• Proficiency in Kubernetes environments including AWS-EKS/GCP-GKE.
• Linux environments, microservice architectures, and service communication patterns.
• Strong troubleshooting on crashes, resource contentions, latency, scaling.
• Experience analyzing logs, metrics, monitoring systems and KPIs.

Responsibilities

• Deploy new releases and configuration changes via GitOps/DevOps.
• Monitor platform health using logs, metrics and observability tools.
• Participate in incident response and 24x7 rotations.
• Improve observability, tooling, automation and reliability practices.
• Investigate and troubleshoot user concerns and errors; propose resolutions.
• Provide technical mentorship to junior engineers.
• Advocate for platform standards and security best practices.

Skills

Spark

Airflow

Jupyter

Python

SQL

Tools

Kubernetes

AWS EKS

GCP GKE

Linux

Microservices

GitOps

Job description

About our client:

A technical consulting company specializing in operational services for the high-tech industry. We help platform and infrastructure teams operate multi-cloud environments, execute complex migrations, and enable seamless app deployments.

Your 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

• 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

Your Qualifications

• 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

Plus points if you have:

• Exposure in other Data/AI platforms such as Flink, Trino, Druid and Ray.I
• Hands-on experience with automation or scripting (Bash, Python)
• Kubernetes or Data certifications (CKAD, AWS Certified Data Engineer)