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8 дней назад

Sr Cloud Product Engineer (AI)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
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
Sr Cloud Product Engineer (AI): Building secure, automated, and scalable delivery foundations for a Managed AI platform across Azure, GCP, and future cloud environments with an accent on DevSecOps, compliance automation, infrastructure as code, and AI governance. Focus on designing enterprise CI/CD pipelines, enforcing cloud security and policy controls, implementing observability and zero-downtime deployments, and responding to critical incidents while mentoring engineers.

Location: Fully remote

Company

The role supports a Managed AI platform requiring secure, automated, compliant, and scalable cloud operations.

What you will do

  • Design, implement, and maintain enterprise CI/CD pipelines for Managed AI platforms and services.
  • Develop Infrastructure as Code and automated deployment solutions across Azure, GCP, and future cloud environments.
  • Implement security controls, vulnerability scanning, secret management, credential rotation, privileged access controls, and compliance validation.
  • Build observability, monitoring, alerting, operational automation, and zero-downtime release capabilities.
  • Support AI governance, prompt protection, DLP integration, production release management, and critical incident response.
  • Mentor offshore engineers and contractors while contributing to architecture reviews, code reviews, platform standards, and engineering governance.

Requirements

  • 8+ years of experience in DevOps, Platform Engineering, Security Engineering, or Automation Engineering, including 3+ years supporting large-scale cloud platforms.
  • Strong DevSecOps and Platform Engineering experience with Terraform, GitHub Actions, GitHub Workflows, Azure DevOps, PowerShell, and automation frameworks.
  • Strong Azure and GCP knowledge, including enterprise-scale Infrastructure as Code, cloud security, identity, networking, governance, and compliance controls.
  • Experience with enterprise CI/CD, deployment automation, monitoring, observability, logging, alerting, and high-availability production environments.
  • Experience with .NET, Python, and React, plus strong scripting and automation skills.
  • Experience operating in regulated enterprise environments and providing technical leadership while remaining hands-on.

Nice to have

  • Experience with AI security frameworks, DLP, prompt inspection, prompt masking, and AI governance controls.
  • Familiarity with Azure AI, Vertex AI, OpenAI, Gemini, and Anthropic ecosystems.
  • Experience with Microsoft Defender Suite, Cyera, Model Armor, and related enterprise security products.
  • Knowledge of FinOps, cost optimization, chargeback automation, and cloud governance.

Culture & Benefits

  • Fully remote work arrangement.
  • Hands-on collaboration with lead engineering and architecture functions.
  • Technical leadership and mentoring responsibilities across engineers and contractors.

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