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Two95 International

Site Reliability Engineer - Site Reliability Engineering, Ads / Monetization Platform

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeKuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia$4k - $6k

About the Job

Requirements

  • At least 3 years of experience in site reliability engineering, DevOps, systems engineering, or production operations for large-scale services.
  • Strong coding skills in at least one of Python, Go, C++, or Java.
  • Solid Linux/Unix fundamentals, including processes, memory and CPU, filesystems, permissions, and troubleshooting.
  • Networking fundamentals in cloud environments, including TCP/IP, DNS, HTTP/HTTPS, load balancing, and basic security concepts.
  • SQL proficiency and experience with data workflows or ETL is a plus for ads/analytics-related systems.
  • Strong communication, an ownership mindset, and the ability to work effectively across global teams.

Responsibilities

  • Own reliability across the service lifecycle, including design reviews, capacity planning, launch, deployment, operations, and continuous improvement.
  • Build and operate highly available services across multiple regions and data centers, improving resilience, latency, and scalability.
  • Develop automation and tooling to reduce toil in deployment, remediation, runbooks, and self-healing, using scripting and software engineering best practices.
  • Define and implement SLOs, SLIs, and SLAs; create dashboards and alerting to track service health, including availability, latency, errors, and saturation.
  • Lead incident response, including triage, mitigation, root-cause analysis, and blameless postmortems with actionable follow-ups.
  • Collaborate with software engineering, security, and compliance stakeholders to meet data governance and regulatory requirements.

Desired Qualifications

  • Experience supporting advertising, recommendation, or high-traffic consumer internet platforms.
  • Hands-on experience with cloud platforms such as AWS, GCP, or Azure and infrastructure-as-code tools such as Terraform or Ansible.
  • Experience with containers and orchestration, including Docker and Kubernetes.
  • Observability experience with tools such as Prometheus, Grafana, ELK/Splunk, or OpenTelemetry.
  • Experience operating large data systems, including streaming and distributed storage or compute, and performance tuning.

About the Company

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