Staff Site Reliability Operations Engineer

The Calix platform enables Communication Service Providers (CSPs) of all sizes to transform and future-proof their businesses. Through real-time data, automation, and actionable insights delivered via Calix One - our cloud-first, AI-powered platform - CSPs can simplify operations, collapse cost, and accelerate innovation. Calix One brings together the automation of everything and the experience of one, empowering customers to deliver differentiated subscriber experiences while driving acquisition, loyalty, and revenue growth.

This is the Calix mission: to enable CSPs of all sizes to simplify, innovate, and grow, strengthening both their businesses and the communities they serve. We’re at the forefront of a once-in-a-generation change in the broadband industry. Join us as we innovate, help our customers reach their potential, and connect underserved communities with unrivaled digital experiences.

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 Big Query 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.

• 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 Big Query.
• 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 distributed workforce.

• Location/Work Style:
  Proven track record of high autonomy and successful delivery in a 100% remote engineering environment.
• Experience:
  
  8+ years in SRE, Production Engineering, or Distributed Systems infrastructure roles.
• Networking Expertise (L1-L7):
  Deep technical knowledge and debugging mastery across all OSI layers, including: L1-L3:
  Physical/fiber infrastructure awareness, switching, and advanced routing protocols (BGP, OSPF). L4:
  Transport layer tuning (TCP congestion control algorithms, UDP, QUIC). L5-L7:
  Session management, TLS termination, DNS architecture, and advanced application protocols (HTTP/3, gRPC).
• Orchestration & Containerization:
  Expert-level mastery of Google Kubernetes Engine (GKE) internals, custom controllers, multi-cluster networking, and Git Ops workflows.
• Data Infrastructure:
  Proven track record managing high-throughput Apache Kafka pipelines and large-scale data environments across PostgreSQL, AlloyDB, and Big Query.
• Grafana Ecosystem:
  Deep, hands-on experience deploying and managing Grafana Enterprise/Cloud, Prometheus/Mimir, Loki, and Tempo at scale.
• AIOps Implementation:
  Track record applying AI/ML techniques for time-series anomaly detection, log clustering, and correlation (e.g., Grafana Adaptive Metrics, Big Panda).
• Infrastructure as Code:
  Advanced, production-scale expertise utilizing Hashi Corp Terraform exclusively to provision and manage multi-region GCP cloud architectures.
• Programming:
  High proficiency in Go and Python for building custom…