Data Infrastructure Engineer
Build the ingestion, storage and query layers that every team uses to reason about Khan Academy's learning platform.
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Build the ingestion, storage and query layers that every team uses to reason about Khan Academy's learning platform.
Own infrastructure-as-code, networking and capacity planning for Khan Academy's learning platform.
Model warehouse data into tested, documented datasets the whole company trusts when analysing Khan Academy's learning platform.
Investigate intrusions and turn each one into durable detection coverage for Klarna's financial platform.
Build the ingestion, storage and query layers that every team uses to reason about Klarna's financial platform.
Own the AI surfaces inside Klarna's financial platform, deciding what to automate, what to assist and what to leave alone.
Sit with customers, build the integrations they need on Klarna's financial platform, and feed the rough edges back to product.
Investigate intrusions and turn each one into durable detection coverage for Kraken's financial platform.
Partner with engineering teams on threat models and secure defaults throughout Kraken's financial platform.
Own the design system and the polish layer across Kraken's financial platform.
Own Kubernetes, deployment tooling and paved-road abstractions underneath LangChain's developer platform.
Deliver working implementations of LangChain's developer platform inside customer environments.
Drive cross-team programmes across LangChain's developer platform, keeping dependencies, risk and timelines visible.
Deliver working implementations of Langfuse (ClickHouse)'s developer platform inside customer environments.
Optimise inference throughput and cost for the models running behind Langfuse (ClickHouse)'s developer platform.
Design and run the multi-region cloud footprint behind Linear's developer platform, with cost and resilience both in view.
Train, evaluate and serve models that power Linear's developer platform at production scale.
Turn model capabilities into dependable product surfaces across Linear's developer platform, balancing latency, cost and quality.
Own infrastructure-as-code, networking and capacity planning for Lokker's security platform.
Build detections and response automation covering the infrastructure behind Lokker's security platform.
Own the lakehouse and streaming infrastructure underneath Lovable's AI products, with an eye on cost and freshness.
Drive cross-team programmes across Lovable's AI products, keeping dependencies, risk and timelines visible.
Own developer tooling, CI throughput and local environments for the teams building Lovable's AI products.
Own the transformation layer and semantic definitions behind reporting on Mercury's financial platform.
Partner with engineering teams on threat models and secure defaults throughout Mercury's financial platform.
Build the ingestion, storage and query layers that every team uses to reason about Mercury's financial platform.
Own model deployment tooling so research work reaches Miro's product suite without bespoke glue each time.
Own the lakehouse and streaming infrastructure underneath Miro's product suite, with an eye on cost and freshness.
Run the large multi-team efforts behind Miro's product suite from kickoff through launch.
Model warehouse data into tested, documented datasets the whole company trusts when analysing Miro's product suite.
Build detections and response automation covering the infrastructure behind Mistral AI's AI products.
Own the AI surfaces inside Mistral AI's AI products, deciding what to automate, what to assist and what to leave alone.
Design red-teaming and evaluation methodology for the models behind Mistral AI's AI products, and turn results into mitigations.
Build the pipelines, feature stores and monitoring that keep models behind Mistral AI's AI products reproducible and observable.
Own the design system and the polish layer across Modal's developer platform.
Train, evaluate and serve models that power Modal's developer platform at production scale.
Own the transformation layer and semantic definitions behind reporting on Modal's developer platform.
Prototype and ship interface work for MongoDB's developer platform, living between design and front-end code.
Own infrastructure-as-code, networking and capacity planning for MongoDB's developer platform.
Own the modelling loop behind MongoDB's developer platform — features, training pipelines, offline evaluation and online experiments.
Build the pipelines, feature stores and monitoring that keep models behind MongoDB's developer platform reproducible and observable.
Build detections and response automation covering the infrastructure behind Monzo's financial platform.
Own Kubernetes, deployment tooling and paved-road abstractions underneath Monzo's financial platform.
Define evaluation criteria, pricing and rollout strategy for AI features across Monzo's financial platform.
Own the design system and the polish layer across Mozilla's open-source projects.
Ship LLM-powered features into Mozilla's open-source projects, from prompt and retrieval design through evaluation and rollout.
Define evaluation criteria, pricing and rollout strategy for AI features across Mozilla's open-source projects.
Review designs, harden services and fix classes of vulnerability across Mozilla's open-source projects.
Optimise inference throughput and cost for the models running behind Nagad's financial platform.
Own the transformation layer and semantic definitions behind reporting on Nagad's financial platform.
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