Petabyte-Scale Telemetry Platform Engineer

Revel; Los Angeles, San Francisco (CA, CA); Hybrid; USD 180.000 - 240.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Substantial equity

Fast personal growth

Zusammenfassung

Revel in Los Angeles or San Francisco, CA is building a new data platform to ingest, store, and serve telemetry from our customers' hardware. You will join the founding team of fewer than six engineers, shaping core parts of the platform from ingestion to query.

You will design, build, release, and operate services across environments, ensure reliability, and scale to petabytes and millions of series. We value ownership, pragmatic engineering, and end-to-end responsibility in a deeply technical

Qualifikationen

• We hire at all experience levels. We care more about what you have built than about how many years you have worked.
• We set the scope of your work to match your experience.
• Understand distributed systems fundamentals and their tradeoffs: partitioning, replication, consistency vs. availability, latency vs. throughput, and delivery guarantees.
• Write code well in a back-end language (e.g. rust).
• Want to know how people use the data, not only how the back end works.
• Communicate clearly about technical topics.
• Want to work on hard problems on a small team that builds a new product.

Aufgaben

• Build and operate services for ingest, storage, and query.
• Design and implement APIs based on programmatic and human user workflows.
• Design how the data platform divides work, scales horizontally, and continues to work during failures.
• Release your work to customers in all environments, and iterate on it based on learnings.
• Use the data platform to monitor itself.

Jobbeschreibung

Revel in Los Angeles or San Francisco, CA is building a new data platform to ingest, store, and serve telemetry from our customers' hardware. You will join the founding team of fewer than six engineers, shaping core parts of the platform from ingestion to query.

You will design, build, release, and operate services across environments, ensure reliability, and scale to petabytes and millions of series. We value ownership, pragmatic engineering, and end-to-end responsibility in a deeply technical