Роль четко определена с акцентом на инфраструктуру данных для ИИ, а зарплата выше рыночных ожиданий, что делает эту вакансию привлекательной.
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Четкая рольЗарплата выше рынкаТрендовый домен
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Hirify AI/Оригинал
TL;DR
Senior/Staff Data Platform Engineer (AI): Designing and operating large-scale batch and streaming data pipelines to power AI training, analytics, and product features with an accent on event-driven architectures and data orchestration. Focus on building self-serve data platforms, ensuring data correctness at scale, and optimizing developer experience for data infrastructure.
Salary: $220K – $405K
Company
Perplexity is an AI-powered search and discovery engine building the future of information retrieval.
What you will do
Design and operate large-scale batch and streaming pipelines for AI training, evaluation, and product features.
Build event-driven systems using Kafka, Kinesis, or PubSub for real-time ingestion and transformation.
Architect data orchestration using Airflow or Dagster, owning scheduling, SLAs, and observability.
Establish guarantees for data correctness, freshness, and lineage to support rapid AI workload growth.
Develop self-serve platforms that allow engineers and data scientists to operate their own pipelines.
Mentor engineers and drive the long-term technical direction of the data ecosystem.
Requirements
5+ years (Senior) or 8+ years (Staff) of software engineering experience.
Strong experience building production data infrastructure systems at scale.
Proficiency in Python and at least one additional backend language (Go, TypeScript, etc.).
Deep familiarity with data orchestration systems like Airflow or Dagster.
Experience supporting ML/AI workflows, training pipelines, or evaluation systems.
Strong systems thinking regarding reliability, latency, cost, and complexity tradeoffs.
Culture & Benefits
Comprehensive U.S. benefits including equity, health, dental, vision, and retirement.
Tailored benefit programs for employees based outside the U.S.
Opportunity to shape the architecture of a high-growth AI platform.
A culture that treats internal data platforms as products to improve developer experience.
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