About the role
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
We're looking for great engineers with experience building the backend of highly performant systems that can handle very large volumes of unstructured and structured data. Customers use our platform to store, query, analyse, and manipulate billions of items of data — and we need to ensure these operations are fast and reliable at massive scale.
For this role we are particularly interested in engineers with experience in both traditional relational database systems like PostgreSQL and column-oriented analytics systems such as ClickHouse, who have worked on large-scale systems in industries where reliability and performance are critical.
You'll join a small, highly collaborative group at a crucial stage of accelerated development, operating with a high degree of autonomy and crafting performant, reliable, and maintainable solutions to challenging technical problems.
What you'll do
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Build and maintain highly performant backend systems handling billions of items of structured and unstructured data
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Work across relational and columnar database systems to ensure fast, reliable query and storage operations at scale
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Take end-to-end ownership of projects, from architectural decisions through to deployment, monitoring, and measuring user impact
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Work autonomously to drive projects forward while collaborating closely with a lean, high-trust team
