6 days ago
Remote, EMEASenior
Responsibilities
- Design, build, and operate metrics, logging, distributed tracing, and alerting components for large-scale infrastructure.
- Build high-volume telemetry pipelines while managing cardinality, retention, cost, and query-performance tradeoffs.
- Define SLO/SLI frameworks and low-noise alerting strategies for on-call engineers.
- Partner with service delivery and operations teams to build incident-focused observability capabilities.
- Integrate observability tooling with incident-management workflows, root-cause analysis, and post-incident reviews.
- Improve detection and resolution speed and reduce MTTD and MTTR across the platform.
- Contribute to AI-assisted operations tooling such as automated triage, anomaly detection, and engineer-assist tools.
- Own the reliability, scalability, and security of the observability stack and document its architecture, runbooks, and operational practices.
Requirements
- Proven experience designing and building observability platforms for large-scale production infrastructure.
- Strong hands-on experience with metrics, logging, and distributed tracing tooling such as Prometheus, Grafana, OpenTelemetry, Loki, Thanos, Cortex, Mimir, Elasticsearch, OpenSearch, Jaeger, or Tempo.
- Experience building high-volume telemetry pipelines and managing cardinality, retention, cost, and query-latency tradeoffs.
- Strong software engineering skills in at least one relevant language, such as Go, Python, or Rust.
- Experience with Kubernetes and cloud-native infrastructure.
- Understanding of SLO, SLI, error-budget practices, and low-noise alerting design.
- Ability to work directly with operations and service delivery teams in a fast-moving environment.
- Strong communication skills.
- Preferred experience with observability for GPU/HPC or other high-performance computing infrastructure.
- Preferred experience with eBPF-based observability tooling, AIOps or ML-based anomaly detection, automated triage, managed services or MSP environments, and open-source observability contributions.
Benefits
- Professional development and training.
- Opportunities to attend conferences and working groups.
- Company outings, happy hours, hackathons, and tech talks.
- Competitive compensation package with a strong benefits plan.
- Opportunity to work with open-source innovation, cloud infrastructure technologies, and passionate colleagues serving enterprise customers.
Tech Stack
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