About the role
Role Summary
As a Site Reliability Engineer (SRE), you will build and operate highly available, globally distributed advertising/monetization services. You will improve reliability, scalability, and operability through automation, observability, incident management, and sound engineering practices.
Key Responsibilities
- Own reliability across the service lifecycle: design reviews, capacity planning, launch, deployment, operations, and continuous improvement. - Build and operate highly available services across multiple regions/data centers; improve resilience, latency, and scalability. - Develop automation and tooling to reduce toil (deployment, remediation, runbooks, self-healing) using scripting and software engineering best practices. - Define and implement SLOs/SLIs/SLAs; create dashboards and alerting to track service health (availability, latency, errors, saturation). - Lead sustainable incident response: triage, mitigation, root-cause analysis (RCA), and blameless postmortems with actionable follow-ups. - Collaborate with software engineering, security, and compliance stakeholders to meet data governance and regulatory requirements.
Requirements
Must-have Qualifications
- 3+ years of experience in SRE, DevOps, systems engineering, or production operations for large-scale services. - Strong coding skills in one language: Python or Go or C++ (Java acceptable). - Solid Linux/Unix fundamentals: processes, memory/CPU, filesystems, permissions, and troubleshooting. - Networking fundamentals in cloud environments: TCP/IP, DNS, HTTP/HTTPS, load balancing, basic security concepts. - SQL proficiency and experience with data workflows/ETL is a plus for ads/analytics-related systems. - Strong communication, ownership mindset, and ability to work effectively across global teams.
Preferred Qualifications
- Experience supporting advertising, recommendation, or high-traffic consumer internet platforms. - Hands-on experience with cloud platforms (AWS/GCP/Azure) and infrastructure-as-code (Terraform/Ansible). - Experience with containers and orchestration (Docker, Kubernetes). - Observability experience with tools such as Prometheus, Grafana, ELK/Splunk, OpenTelemetry. - Experience operating large data systems (streaming, distributed storage/compute) and performance tuning.
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