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3 дня назад

Senior Cloud Data & AI Platform Engineer (AI)

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

Текст:
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TL;DR
Senior Cloud Data & AI Platform Engineer (AWS/Snowflake/AI): Building and operating secure, scalable data and AI platform foundations across AWS and Snowflake with an accent on platform engineering, FinOps, GenAI, and Agentic AI capabilities. Focus on designing reusable infrastructure abstractions, integrating LLMs into data workflows, and implementing AI-driven DevOps with appropriate guardrails.

Location: Mechelen, Belgium. Hybrid work is available, with office presence required at least three days per week during the first six months; remote work from home is available on other days.

Company

hirify.global builds data and analytics capabilities, AI products, and insight solutions to improve its business and customer experience.

What you will do

  • Design and coordinate secure data platform products and services on AWS and Snowflake, including storage, compute, and purpose-based access management.
  • Create reusable infrastructure abstractions, accelerators, and frameworks that improve data-team productivity and support technology adoption.
  • Operate and continuously improve the platform through support, upgrades, DevOps, FinOps, cost attribution, and optimization.
  • Design platform foundations for Agentic AI, including knowledge graphs, context layers, and secure agent capabilities.
  • Integrate GenAI and LLM capabilities into the data workbench to support pipelines, model training, and data exploration.
  • Automate platform workflows, monitoring, incident follow-up, upgrades, support, and cost optimization with agents and appropriate human oversight.

Requirements

  • Bachelor’s or Master’s degree in computer science or a related field, or equivalent experience.
  • Extensive experience designing and operating production-grade data platforms, with the judgment to set technical direction and guide other engineers.
  • Excellent knowledge of Snowflake, AWS, Terraform, and Python.
  • Good knowledge of EMR, EKS, Kubernetes, Spark, and GitLab.
  • Experience with Dagster or Airflow and with scalable API development in a demanding production environment.
  • Daily use of AI tools and agents as part of engineering work.
  • End-to-end ownership, strong communication, constructive challenge of assumptions, stakeholder alignment, clear explanation of technical decisions, and a problem-solving mindset.
  • Fluent English.

Culture & Benefits

  • Results- and ownership-oriented environment with trust, commitment, and accountability.
  • Thirteenth-month salary, holiday pay, mobility budget, meal and eco vouchers, company equipment, and employee discounts.
  • Collective and individual performance bonuses, hospitalization insurance with ambulatory coverage, and group insurance.
  • 20 days of paid leave and 12 compensatory days off.
  • Internal learning platform, coaching, on-the-job training, and opportunities for continued development.
  • Frequent in-person collaboration and rapid onboarding through regular office interaction.

Hiring process

  • Submit an application; if there is a match, the hiring team will arrange an introductory conversation and explain the next selection steps.

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