01Key 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 distributed workforce. Required Qualifications: 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 GitOps workflows. Data Infrastructure: Proven track record managing high-throughput Apache Kafka pipelines and large-scale data environments across PostgreSQL, AlloyDB, and BigQuery. 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, BigPanda). Infrastructure as Code: Advanced, production-scale expertise utilizing HashiCorp Terraform exclusively to provision and manage multi-region GCP cloud architectures. Programming: High proficiency in Go and Python for building custom infrastructure tooling, Kubernetes operators, and data integration scripts. Preferred Attributes: Remote Communicator: Exceptional written and verbal communication skills, with an emphasis on creating clear documentation The
