Staff Site Reliability Operations Engineer
CalixAbout the role
We’re at the forefront of a once in a generational change in the broadband industry. Join us as we innovate, help our customers reach their potential, and connect underserved communities with unrivaled digital experiences.
Role Overview
We are seeking a Staff Site Reliability Engineer (SRE) to lead our global platform reliability and drive our next-generation observability strategy on Google Cloud Platform (GCP). In this role, you will leverage Grafana Labs' complete telemetry stack and AIOps methodologies to build intelligent, self-healing infrastructure. You will bring deep expertise in scaling enterprise-grade Google Kubernetes Engine (GKE) topologies, managing high-throughput Kafka event streams, and maintaining high-performance PostgreSQL, AlloyDB, and BigQuery ecosystems at massive scale. Crucially, you will provide deep technical leadership across the entire networking stack, diagnosing complex issues from physical-layer transport up to application-layer protocols.
This position is 100% fully remote. You can work from anywhere in the United States or Canada with a reliable internet connection, collaborating with a distributed engineering organization across multiple time zones.
Key Responsibilities:
Full-Stack Network Architecture: Architect, optimize, and troubleshoot complex networking infrastructure spanning Layer 1 through Layer 7, ensuring low-latency data transport, secure edge routing, and seamless service mesh integration.
Grafana Stack Architecture: Design, scale, and optimize our unified observability platform using the Grafana Labs suite (Grafana, Mimir, Loki, Tempo, and Beyla).
AIOps & Intelligent Alerting: Deploy machine learning models and automated anomaly detection to cut through telemetry noise, reduce alert fatigue, and predict network or data pipeline bottlenecks.
GKE Platform Engineering: Drive the architecture, scaling, security, and networking of production Google Kubernetes Engine (GKE) clusters.
Data & Event Streaming Reliability: Tune, and maintain high-throughput Apache Kafka clusters to guarantee low-latency event delivery and high availability.
Large-Scale Database Management: Ensure the performance, scalability, and disaster recovery readiness of our transactional and analytical data tiers across PostgreSQL, AlloyDB, and BigQuery.
Automated Incident Response: Integrate AIOps insights with Grafana workflows to automate triage, accelerate root-cause analysis, and trigger auto-remediation scripts.
Technical Leadership: Champion the long-term technical roadmap for distributed infrastructure engineering and GCP cloud-native observability standards.
Mentorship: Coach senior and junior engineers on advanced debugging techniques, distributed systems thinking, and intelligent operations across a distri
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