8 дней назад
Sr Cloud Product Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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