A SaaS? tool that normalizes alerts, logs, metrics, and dashboards across Splunk, Grafana, Prometheus, Datadog, ELK, and similar observability stacks.
Added Jun 10, 2026
Last signal 2w ago
Engineering and operations teams are working across fragmented monitoring and observability tools, often combining Splunk, Grafana, Prometheus, ELK, Datadog, Dynatrace, AppDynamics, and other platforms. This creates operational friction when teams need a single view of system health, incident context, and alert behavior across environments.
Build a lightweight integration layer that connects to common observability platforms, deduplicates alerts, maps related logs and metrics, and presents a unified incident timeline. The product would help DevOps?, production support, and operations teams reduce tool switching while preserving their existing monitoring investments.
Multiple job postings across product, DevOps?, production support, performance testing, and network operations roles explicitly call for hands-on experience with modern observability stacks. This suggests observability complexity is now a cross-functional operational requirement rather than a niche SRE? concern.
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You'll partner closely with DevOps, Site Reliability Engineering (SRE), platform, and software engineering teams to develop modern observability solutions, improve incident response, and enable data-driven operational excellence. Design and implement enterprise observability strategies across infrastructure, services, and applications.
Experience working with monitoring and metrics platforms like Splunk and Prometheus
Experience with observability or monitoring tools (e.g., Datadog, Splunk, New Relic).
Exposure to monitoring tools (e.g., Splunk, AppDynamics, Dynatrace, Grafana, Prometheus, ELK stack).
Experience with monitoring and observability tools such as Geneos, Grafana, Prometheus, BMC TrueSight, and Splunk
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