Senior Site Reliability Engineer – Data Platforms

We are looking for a Senior Data Platform Reliability Engineer to operate, maintain, and continuously improve data platforms running on Kubernetes, either on-premise or on AWS/GCP.

Key Responsibilities:

• Deploy 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, automation, self-service capabilities, and reliability practices.
• Troubleshoot system issues, integrations, errors, and misconfigurations.
• Provide technical mentorship to junior engineers.
• Promote platform standards, security best practices, and operational excellence.
  Qualifications:
• 3+ years of experience supporting production data workloads/platforms such as Spark, Airflow, or Jupyter.
• 5+ years of hands-on experience in ETL/ELT pipeline development and data transformation using Python/Java and SQL.
• Strong hands-on experience with Kubernetes, including AWS EKS or GCP GKE.
• Strong knowledge of Linux environments, microservices, and service communication.
• Strong troubleshooting skills involving application crashes, resource contention, service latency, and scaling.
• Experience analyzing logs, metrics, monitoring systems, and service KPIs.
  Nice to Have:
• Experience with data/AI platforms such as Flink, Trino, Druid, or Ray.io.
• Bash and Python automation/scripting experience.
• Kubernetes or data certifications such as CKAD or AWS Certified Data Engineer.

Work Location: Hybrid remote in Mandaluyong