AI Cloud Solution Engineer

Job not on LinkedIn

August 20

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Logo of Sales Consulting

Sales Consulting

HR Tech • Recruitment • Consulting

Sales Consulting is a Human Resources consulting firm established in 1998. Specializing in recruitment and selection, personnel leasing, assessment centers, and consultancy, Sales Consulting provides comprehensive HR solutions across several industries including IT&C, automotive, outsourcing, pharma, banking, and FMCG. With a team of 130 coworkers, Sales Consulting handles around 150 recruitment processes monthly, showcasing its operational excellence and industry-specific knowledge. The company is a market leader in Transylvania and continues to expand its reach in Romania and the surrounding region. Sales Consulting is committed to client orientation, teamwork, flexibility, excellence, and responsibility to ensure long-term partnerships and professional growth opportunities for both clients and candidates.

51 - 200 employees

Founded 1998

👥 HR Tech

🎯 Recruiter

📋 Description

• Design and implement AI solutions using machine learning, deep learning, and related technologies • Manage and automate cloud infrastructure in Azure and GCP, including hybrid environments • Develop and maintain infrastructure using IaC tools such as Terraform, Bicep, and Ansible • Ensure secure and scalable integration of third-party AI providers and services • Build and manage CI/CD pipelines using GitHub Actions or Azure DevOps • Oversee identity and access management via Microsoft Entra ID (Azure AD) • Collaborate with cross-functional teams to align cloud infrastructure with AI application needs • Support cost optimization efforts for LLM inference and cloud resource usage

🎯 Requirements

• 3+ years of experience in a similar cloud or AI engineering role • Strong expertise in Microsoft Azure, Google Cloud Platform, and hybrid architectures • Proficiency in Python; additional experience in Go or Bash is a plus • Solid understanding of Infrastructure as Code (Terraform, Bicep, Ansible) • Experience with containerization and orchestration using Docker and Kubernetes • Familiarity with AI frameworks and tools (e.g., OpenAI, Gemini, LLaMA, Mistral, Ollama) • Knowledge of cloud security, IAM, network segmentation, and private cloud connectivity • Experience with CI/CD tools, GitHub, and DevOps practices • Strong understanding of cloud cost optimization and FinOps principles • Fluent in English; German is an advantage • Willingness to travel occasionally to Germany

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