Observability Platform Engineer — Neocloud

• Design, build, and operate observability platform components — metrics, logging, distributed tracing, and alerting — for large-scale infrastructure environments

• Build telemetry pipelines capable of handling high cardinality, high volume data from large fleets of infrastructure, with an eye on cost, retention, and query performance

• Define and implement SLO/SLI frameworks and alerting strategies that reduce noise and surface real signal to on-call engineers

• Partner closely with service delivery and operations teams to understand what they need to see during an incident, and build for that — not just for dashboards nobody opens

• Integrate observability tooling with incident management workflows, including root-cause analysis support and post-incident review data

• Continuously improve detection speed and reduce mean-time-to-detect (MTTD) and mean-time-to-resolve (MTTR) across the platform

• Contribute to the roadmap for AI-assisted operations tooling (e.g., automated triage, anomaly detection, engineer-assist tooling) as it matures

• Own the reliability, scalability, and security of the observability stack itself — it needs to be up when everything else is on fire

• Document architecture, runbooks, and operational practices so the platform is maintainable beyond you

• Operations teams can diagnose incidents faster because the right data is surfaced automatically, not hunted for manually

• Alert volume is high-signal, low-noise — engineers trust what fires

• The observability platform scales cleanly as infrastructure footprint grows, without cost or performance surprises

• Reduced MTTD/MTTR trends, tracked and demonstrable over time

• A platform other engineers actually want to build on, not work around

• Proven experience designing and building observability platforms for large-scale, production infrastructure environments (not just consuming an existing setup — actually building one)

• Strong hands-on experience with metrics, logging, and distributed tracing tooling (e.g., Prometheus, Grafana, OpenTelemetry, Loki, Thanos/Cortex/Mimir, Elasticsearch/OpenSearch, Jaeger/Tempo, or equivalents)

• Experience with high-volume telemetry pipelines and the tradeoffs involved (cardinality, retention, cost, query latency)

• Strong software engineering skills in at least one language commonly used in this space (e.g., Go, Python, Rust)

• Experience with Kubernetes and cloud-native infrastructure

• Solid understanding of SLO/SLI/error-budget practices and alerting design that minimizes noise

• Comfortable working in a fast-moving environment where the platform is being built out alongside the infrastructure it's monitoring

• Strong communication skills — able to work directly with operations/service delivery teams to understand real incident-response needs, not just technical specs

• Experience building observability for GPU/HPC infrastructure or other specialized, high-performance compute environments

• Experience with eBPF-based observability tooling

• Familiarity with AIOps/ML-based anomaly detection or automated triage systems

• Experience operating in a managed services or MSP context, where observability directly drives customer-facing SLAs

• Contributions to open-source observability projects

• Work with an established Silicon Valley leader in the cloud infrastructure industry;
• Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;
• Be a part of cutting-edge, open-source innovation;
• Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;

• Company outings, happy hours, hackathons, and tech talks;
• Receive a competitive compensation package with a strong benefits plan.

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