Staff DevOps Engineer scaling Hubstaff’s workforce analytics and time - tracking SaaS platform. Designing secure AWS/GCP infrastructure, Kubernetes platforms, CI/CD, and observability systems.
About the role
- Staff SRE leading GCP reliability, observability, and infrastructure automation for Calix’s broadband communications platform. Building resilient GKE, Kafka, database, and networking systems.
Responsibilities
- Lead global platform reliability and drive the next-generation observability strategy on Google Cloud Platform
- Architect, optimize, and troubleshoot networking infrastructure across OSI Layers 1–7
- Design, scale, and optimize the Grafana Labs observability stack, including Grafana, Mimir, Loki, Tempo, and Beyla
- Deploy machine-learning models and automated anomaly detection to reduce alert fatigue and predict bottlenecks
- Architect, scale, secure, and manage production Google Kubernetes Engine clusters
- Tune and maintain high-throughput Apache Kafka clusters for low-latency event delivery and high availability
- Ensure performance, scalability, and disaster-recovery readiness across PostgreSQL, AlloyDB, and BigQuery
- Automate incident triage, root-cause analysis, and remediation through Grafana workflows and AIOps insights
- Champion the technical roadmap for distributed infrastructure engineering and GCP cloud-native observability standards
- Coach engineers on advanced debugging, distributed-systems thinking, and intelligent operations
Requirements
- Proven track record of high autonomy and successful delivery in a 100% remote engineering environment
- 8+ years of experience in SRE, Production Engineering, or Distributed Systems infrastructure roles
- Deep technical knowledge across OSI Layers 1–7
- Physical/fiber infrastructure awareness, switching, BGP, and OSPF
- TCP congestion control, UDP, and QUIC
- Session management, TLS termination, DNS architecture, HTTP/3, and gRPC
- Expert-level mastery of GKE internals, custom controllers, multi-cluster networking, and GitOps workflows
- Experience managing high-throughput Apache Kafka pipelines and large-scale PostgreSQL, AlloyDB, and BigQuery environments
- Hands-on experience with Grafana Enterprise/Cloud, Prometheus/Mimir, Loki, and Tempo at scale
- Experience applying AI/ML to time-series anomaly detection, log clustering, and correlation
- Advanced production-scale expertise with HashiCorp Terraform for multi-region GCP architectures
- High proficiency in Go and Python
- Exceptional written and verbal communication skills for asynchronous alignment
- Deep knowledge of Google Cloud architecture, Cloud SDN, Cloud Armor, Interconnect, IAM, and cost optimization
- Understanding of Linux internals, eBPF-based monitoring, kernel-level networking, Wireshark, and tcpdump
Benefits
- Eligibility for a bonus as part of the total compensation package
- Benefits package available; details provided via the employer's benefits information
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