Datadog is looking to build foundational, managed distributed key-value datastores which scale with their diverse customer base, powering their core products, fast growing set of features, and critical internal platforms, while maintaining millisecond performance and enabling Datadog to ship products at scale faster.
Requirements
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- Experienced with high-scale data modeling and API design.
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- Built distributed systems at scale but maybe not Databases before.
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- Knowledge of tradeoffs to make to deliver a project quickly without compromising reliability.
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- Familiarity with the latest industry research and development (bonus points).
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- Passionate about data storage.
Responsibilities
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- Scale and build the next phase of our datastores that are growing 20% QoQ internally.
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- Drive the technical direction for systems that process 10s of millions of RPS and stateful systems that manage 100s GB/s
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- Work with our internal users to quickly build features and distributed systems which allow them to access their key-value data
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- Design Machine Learning enabled migration solutions that store data in the best storage backend transparently based on client usage.
Other
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- Ship fast, communicate efficiently, route around blockers, and are comfortable working with ambiguity.
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- Passionate about technology and want to grow your skills.
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- Ability to join our Community Guilds (Datadog employee resource groups)
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- Bachelor's, Master's, or Ph.D. degree (not explicitly mentioned but implied)
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- Competitive global benefits, new hire stock equity (RSUs) and employee stock purchase plan (ESPP)
