Senior Site Reliability Engineer: Cloud-Native & Automation Lead

Maya

Mandaluyong

On-site

PHP 1,800,000 - 2,400,000

Full time

4 days ago
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Job summary

Maya is seeking a Senior Site Reliability Engineer to join the Partner Marketing Solutions team, driving reliability, resilience, and operational excellence across the PMS domain. You will influence squads on automation, scalability, and fault tolerance to ensure millions of Maya users experience dependable ads.

Responsibilities include leading incident response, defining latency targets, and implementing robust monitoring with privacy-compliant telemetry.

Qualifications

  • 8+ years in SRE, platform, infrastructure, or DevOps engineering, or equivalent.
  • Strong production Kubernetes and Istio experience at scale; Terraform & Helm expertise.
  • Proficient in distributed tracing, APM, incident response, and RCA leadership.

Responsibilities

  • Lead reliability for PMS platforms with scalable cloud-native infra and pipelines.
  • Harden integrations and ad-delivery paths with timeouts, retries, and rate limits.
  • Drive automation and GitOps through IaC modules and CI/CD workflows.
  • Own incident command and RCAs to prevent repeat failures.
  • Steer reliability governance, SLOs, and privacy-compliant telemetry.
  • Mentor engineers on SRE practices and capacity planning.

Skills

Cloud-native Reliability
Platform Reliability
SRE Leadership
Automation & Tooling
Observability Practices
Foundations & Compliance

Education

Bachelor's degree in Computer Science / IT / Computer Engineering

Tools

Kubernetes
Istio
Terraform
Helm
GitLab CI/CD
ArgoCD
OpenTelemetry
Dynatrace
Grafana

Job description

Maya is seeking a Senior Site Reliability Engineer to join the Partner Marketing Solutions team, driving reliability, resilience, and operational excellence across the PMS domain. You will influence squads on automation, scalability, and fault tolerance to ensure millions of Maya users experience dependable ads.

Responsibilities include leading incident response, defining latency targets, and implementing robust monitoring with privacy-compliant telemetry.

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