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4 дня назад

Platform Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Platform Engineer (AI): Building and owning the infrastructure platform that ensures hirify.global's AI products are reliable, scalable, and secure across customer cloud environments with an accent on multi-cloud deployments, compliance, and data residency. Focus on architecting container orchestration, CI/CD pipelines, observability, and security controls for regulated pharma settings.

Location: Hybrid setup with high trust, autonomy, and flexibility

Company

Enterprise AI company with products Scribe and Devin purpose-built for pharma teams in GxP-regulated environments, gaining traction with leading life sciences organizations across Europe.

What you will do

  • Design, deploy, and operate cloud infrastructure across Azure (primary) and AWS using Pulumi and Terraform
  • Build and manage Kubernetes-based container orchestration for AI services, data pipelines, and API backends
  • Architect dual-deployment SaaS model with secure, isolated deployments in customer cloud tenants
  • Implement security controls, data residency, and audit trails aligned with GxP and SOC 2
  • Build and maintain CI/CD pipelines for reliable engineering deployments
  • Set up observability with monitoring, alerting, logging, and tracing
  • Contribute to incident response, post-incident learning, and developer abstractions

Requirements

  • Strong backend software engineering background with deep infrastructure and platform experience
  • Hands-on experience with Azure (required) and AWS
  • Proficient with Pulumi (preferred) or Terraform for IaC
  • Strong Kubernetes experience in deployment, scaling, observability, and reliability
  • Solid knowledge of cloud networking, IAM, and security best practices
  • Experience building and maintaining CI/CD pipelines
  • Comfortable with Python and scripting for automation
  • Experience with observability tools like Prometheus, Grafana, or Datadog
  • Autonomous, proactive mindset focused on reliability

Nice to have

  • Experience with customer cloud tenant deployments or managed application patterns
  • Familiarity with GxP, SOC 2, HIPAA, or regulated compliance
  • Multi-tenant SaaS infrastructure experience
  • Specific Pulumi experience

Culture & Benefits

  • Competitive compensation package and Employee Stock Ownership Plan
  • Flexible working culture emphasizing work-life balance
  • International, collaborative team with high trust and autonomy
  • Opportunity to impact thousands and drive company growth
  • Work on autonomous agents, orchestration, and knowledge retrieval in life sciences AI

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