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2 дня назад

Cloud & AI Platform Architect (GCP)

Формат работы
remote (только Israel/Brazil)/hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Israel/Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Cloud & AI Platform Architect (GCP/AI): Designing and owning the architecture for a large-scale real-time sports data platform and an agentic AI ecosystem with an accent on reliability, scalability, and cost efficiency. Focus on orchestrating AI agents, implementing RAG systems, and defining infrastructure standards across GKE, Kafka, and GitOps workflows.

Location: Must be based in Ashkelon (Israel) or Brazil (Hybrid model).

Company

hirify.global is a world-leading sports data provider delivering real-time data and AI-driven insights to sportsbooks worldwide.

What you will do

  • Own the architecture of the cloud platform, including GKE fleet design, VPC networking, and multi-environment strategies.
  • Lead Infrastructure-as-Code standards and secure CI/CD paved paths for all R&D teams.
  • Design the agentic AI ecosystem, including orchestration frameworks, tool interfaces, and memory strategies.
  • Implement evaluation and guardrail layers for AI in production to ensure safety and performance.
  • Drive FinOps as an architectural discipline to optimize cloud and AI model costs.
  • Define reference architectures for RAG patterns, prompt management, and model API standards.

Requirements

  • 8+ years of experience in platform engineering, DevOps, or systems architecture.
  • Deep production expertise with Kubernetes (GKE), container runtime, and Service Mesh.
  • Hands-on mastery of Terraform or Pulumi and GitOps practices via ArgoCD.
  • 1–2+ years of hands-on experience building LLM-based or agentic systems in production.
  • Strong GCP architecture depth including networking, IAM, and Workload Identity.
  • Solid experience with Apache Kafka or comparable streaming platforms at scale.

Nice to have

  • Experience with Model Context Protocol (MCP) or multi-agent orchestration frameworks.
  • FinOps certification or demonstrated large-scale cloud cost reduction wins.
  • Experience with managed AI platforms like GCP Vertex AI or AWS Bedrock.
  • Deep AWS architecture experience.

Culture & Benefits

  • Hybrid work model with flexibility.
  • Work From Anywhere benefit for up to 30 days per year.
  • Extended parental leave and quarterly recharge days.
  • Comprehensive health insurance and wellbeing platform access.
  • Dog-friendly office environment with social events.

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