4 дня назад
Principal Engineer, Data & Event Intelligence (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
develops 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.
- is an equal opportunity employer committed to diversity and inclusion.
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