Назад
Company hidden
12 часов назад

Senior Staff Data Engineer (AI)

Формат работы
remote (только Brazil)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Senior Staff Data Engineer (Kafka/Flink/Spark): Designing and scaling a high-throughput distributed data platform to power AI-driven experiences and real-time business intelligence with an accent on low-latency streaming and system reliability. Focus on building pipelines for billions of events and bridging traditional ML workloads with modern AI-based decision systems.

Location: Remote (Must be based in Brazil)

Company

hirify.global is a conversational AI platform focused on reshaping how businesses interact with customers through intelligent data systems.

What you will do

  • Design, implement, and optimize distributed data systems using Kafka, Flink, Spark, and Delta Lake.
  • Build low-latency, high-throughput pipelines capable of handling billions of events per day.
  • Translate business requirements into scalable architectural patterns for data modeling and orchestration.
  • Implement AI infrastructure to support agent-based or Model Context Protocol (MCP) enabled workflows.
  • Mentor other engineers and establish high engineering standards through code reviews and software craftsmanship.
  • Collaborate cross-functionally with Product and AI teams to drive platform adoption.

Requirements

  • 8+ years of experience in Data, Platform, or Software Engineering.
  • Proven expertise in building and scaling distributed systems and data platforms.
  • Deep hands-on experience with Apache Kafka, Apache Flink, Apache Spark, and Delta Lake.
  • Proficiency in Scala, Java, or Python.
  • Expertise in SQL and performance tuning for analytical and transactional workloads.
  • Must be based in Brazil.

Nice to have

  • Experience with Model Context Protocol (MCP) or modern AI infrastructure paradigms.
  • Familiarity with MLOps and feature stores.
  • Knowledge of data governance principles and observability stacks.

Culture & Benefits

  • Flexible work models and flexible hours to support autonomy and balance.
  • Financial allowance for home office setup and a birthday day off.
  • Comprehensive health (Amil) and dental plans for employees and dependents.
  • Monthly meal allowance (BRL 1,144) and transportation vouchers.
  • Extended maternity leave (180 days) and paternity leave (30 days).
  • Educational support via partnerships with universities and language schools.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →