Cribl is the observability pipeline company — sit between your sources (logs, metrics, traces) and your destinations (Splunk, Datadog, S3) and route, transform, and reduce volume. Used by 60% of the Fortune 100. The interview emphasizes high-throughput data engineering, JavaScript-runtime internals, and the cost-saving math of observability data.
Process
Recruiter screen → 60-minute coding phone (DSA medium-hard) → onsite virtual: 2 coding, 1 system design, 1 craft deep-dive, 1 behavioral. Cycle: 3–4 weeks.
What they actually ask
- Design a high-throughput data router that handles 1M events/sec per node
- Design a stateful streaming pipeline with persistent queues for backpressure
- Design a sampling/dropping strategy that preserves operational signal while reducing volume
- Coding: medium-hard DSA, often with parsing or state-machine flavor
- Behavioral: customer focus, ownership, working with enterprise customers
Levels and comp (2026)
- SE II: $170K–$210K total
- Senior SE: $250K–$320K
- Staff: $360K–$470K
- Principal: $490K–$640K
Prep priorities
- Be fluent in Node.js/TypeScript (the data plane runs on V8) and at least one systems language
- Understand observability formats: OpenTelemetry, syslog, JSON logs, Prometheus, Splunk’s data model
- Read the Cribl engineering blog and the Stream architecture posts
Frequently Asked Questions
Is Cribl remote-friendly?
Yes. Distributed across US and EU. Hubs in San Francisco, Boston, Seattle are optional.
How does Cribl compare to Datadog or Splunk?
Cribl is upstream of those — they aggregate and route data before it reaches Datadog/Splunk. Cribl pays comparable to Datadog for senior engineers.
What is the engineering culture like?
Fast-paced, customer-focused, with strong technical depth. Expect ownership and willingness to work directly with enterprise customers on technical problems.