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4 дня назад

Principal Engineer, Data & Event Intelligence (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Argentina
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal Engineer, Data & Event Intelligence (AI): Building the real-time event and streaming infrastructure that powers AI-driven decisioning, automation, personalization, and behavioral intelligence across an enterprise SaaS platform with an accent on Flink-based stream processing, distributed data systems, OLAP, and vector retrieval. Focus on designing resilient architectures for billions of events, low-latency processing, temporal data, operational AI feedback loops, and agent-triggered workflows.

Location: Palermo, Buenos Aires, Argentina; hybrid with 3 days per week onsite. Candidates based in the Buenos Aires vicinity will be prioritized.

Company

hirify.global develops hirify.global Experience Cloud, a SaaS platform for managing experience insights and actions across customer, employee, patient, and resident experiences.

What you will do

  • Architect and scale enterprise event-driven systems for real-time intelligence, AI workflows, and autonomous decisioning.
  • Design resilient streaming architectures for billions of events using Flink, including stateful processing, windowing, complex event processing, ingestion, routing, enrichment, and egress.
  • Build behavioral intelligence, streaming analytics, operational AI feedback loops, and real-time personalization infrastructure.
  • Design feature stores, event stores, temporal data systems, telemetry normalization, historical replay, and high-throughput event storage.
  • Develop distributed transactional and analytical data layers using YugabyteDB, StarRocks, and vector stores for semantic search, RAG, and AI grounding.
  • Set architecture standards, modernize platform strategy, mentor engineers, and collaborate with Product, Infrastructure, AI, and Security teams.

Requirements

  • 10+ years of experience building large-scale distributed systems, streaming platforms, or real-time data infrastructure.
  • Experience with event-driven architectures and technologies such as Kafka, Pulsar, Flink, Spark Streaming, or Kinesis.
  • Experience with low-latency, high-throughput processing, distributed SQL or NoSQL databases, OLAP engines, and vector store architecture.
  • Programming experience in Java, Scala, Go, Python, or similar backend technologies, plus cloud-native infrastructure and Kubernetes.
  • Experience leading large-scale technical initiatives across organizational boundaries and designing telemetry, observability, or behavioral data platforms.
  • Fluent English, oral and written, is required.

Nice to have

  • Experience with operational AI, real-time personalization, agentic systems, event-triggered workflows, or AI orchestration frameworks.
  • Experience integrating streaming systems with AI/ML pipelines, inference platforms, recommendation systems, or adaptive decisioning.
  • Experience with schema evolution, data governance, multi-tenant event platforms, hybrid retrieval, StarRocks, or YugabyteDB in production.
  • Contributions to open-source streaming, data infrastructure, or observability ecosystems.

Culture & Benefits

  • Work on distributed systems and real-time intelligence challenges at enterprise scale.
  • Build infrastructure for AI-native products, operational AI, autonomous workflows, and adaptive personalization.
  • Influence platform strategy across AI, data, and infrastructure engineering.
  • Collaborate with engineers and technical leaders on complex enterprise-scale problems.
  • hirify.global is an equal opportunity employer committed to diversity and inclusion.

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