
11 - 50 funcionários
Fundada em 2017
☁️ SaaS
🤖 Inteligência Artificial
💸 Finanças
💰 Series A em 2021-03
SaaS • Artificial Intelligence • Finance
CloudZero é uma plataforma líder em otimização de custos em nuvem que ajuda organizações a automatizar a coleta, alocação e análise de seus gastos com nuvem e IA. Ao utilizar técnicas avançadas de normalização de dados, a CloudZero oferece uma visão unificada dos custos entre vários provedores de serviços na nuvem, como AWS, Azure e Google Cloud. A plataforma permite que as empresas otimizem orçamentos, detectem anomalias nos gastos e aloque custos compartilhados com precisão, maximizando economias e melhorando o desempenho financeiro das equipes de engenharia.
🕒 Março 25
🏄 California – Remoto
💵 $275.000 - $330.000 / ano
⏰ Tempo Integral
🟠 Sênior
🔴 Especialista
🚰 Engenheiro de Dados
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

11 - 50 funcionários
Fundada em 2017
☁️ SaaS
🤖 Inteligência Artificial
💸 Finanças
💰 Series A em 2021-03
SaaS • Artificial Intelligence • Finance
CloudZero é uma plataforma líder em otimização de custos em nuvem que ajuda organizações a automatizar a coleta, alocação e análise de seus gastos com nuvem e IA. Ao utilizar técnicas avançadas de normalização de dados, a CloudZero oferece uma visão unificada dos custos entre vários provedores de serviços na nuvem, como AWS, Azure e Google Cloud. A plataforma permite que as empresas otimizem orçamentos, detectem anomalias nos gastos e aloque custos compartilhados com precisão, maximizando economias e melhorando o desempenho financeiro das equipes de engenharia.
• Define the Data Platform Architecture • Lead end-to-end technical design for CloudZero's next-generation data platform, from event ingestion and stream processing through hot/cold storage and the query layer to the API surface • Document architectural decisions, tradeoffs, and migration strategies with the rigor of an RFC-driven process • Shape and drive every layer of the new architecture: event ingestion, stream processing and enrichment, real-time serving, analytical storage, query layer, and API • Design and deliver CloudZero's real-time data pipeline from ingestion through enrichment to serving • Establish SLOs for throughput, latency, and correctness, and build the operational playbooks that make this system trustworthy enough to replace the batch pipelines our entire product currently depends on • Tackle real-time streaming at scale across thousands of customers simultaneously, with fault tolerance, backpressure awareness, and correctness as non-negotiables • Redesign CloudZero's dimensional cost model to support high-cardinality, multi-dimensional cost attribution without runaway materialization costs • Drive incremental, delta-based materialization strategies using modern open table formats, dramatically reducing expensive full-rebuild jobs and unlocking millions in annual infrastructure savings • Assess CloudZero's current query infrastructure, drive in-flight migrations to completion, and lead the evolution of the query engine layer going forward • Own performance optimization across partition pruning, predicate pushdown, and query planning, and set the vision for how the query layer grows as data volumes scale 10x • Evolve CloudZero's proprietary cost attribution engine from a batch-oriented model to one that assigns complex cost dimensions by team, feature, and customer within seconds of resource usage • Rethink enrichment, data lineage, and correctness guarantees in a streaming context • Partner with product, infrastructure, and analytics engineering to define a multi-year data platform roadmap • Build consensus across engineering leadership on foundational investments including table formats, streaming frameworks, query engines, and schema management • Participate in architecture reviews, contribute to design patterns and best practices, and mentor senior and staff engineers through code review, pairing, and structured feedback • Make everyone around you better, not by directing, but by raising the collective craft
• 10+ years in data engineering with a clear trajectory toward principal or staff-level architecture • Built and operated large-scale data platforms serving tens of millions of events per day in production • Deep experience with streaming systems such as Kafka, Kinesis, Flink, or Spark Streaming at real production throughput • Strong hands-on fluency with modern open table formats including Apache Iceberg, Delta Lake, and Hudi, including compaction, partitioning strategy, and time-travel queries • Designed hot/cold storage architectures with explicit latency SLOs per tier • Proven ability to drive a data platform end to end, not just a single layer
• Offers Equity • Offers Bonus
Candidatar-se🕒 Março 24
11 - 50
🎯 Recrutamento
🔒 Cibersegurança
🤝 B2B
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🗣️🇺🇸🇬🇧 Inglês obrigatório