AI Cloud Solution Engineer Brașov

AI Cloud Solution Engineer
Braşov
Brașov, Brașov, Romania

Since 1998, we've been active in the Human Resources consulting market, providing regional coverage across four key areas of expertise: recruitment and selection, personnel leasing, assessment centers and consultancy. As leaders in Transylvania, we've expanded our reach to embrace a culture of continuous improvement, thereby strengthening our position in the Romanian and also regional market. This commitment underscores our dedication to evolve alongside the dynamic needs of our clients and the
- changing landscape of the business environment.

Our success stems from the professionalism of our services, the multidisciplinary expertise of our consulting team and our ongoing collaboration with those who rely on our consultancy services.

Building
- term partnerships with clients across diverse industries such as IT&C, automotive, outsourcing, pharma, banking, FMCG and more, is our primary objective.

Our commitment to client orientation, teamwork, flexibility, excellence, dedication and responsibility reflects our aim to bring added value to our services.

The AI Cloud Solution Engineer will join a dynamic technology team and be integrated into the company’s digital transformation initiatives.

Role 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 Ia
C tools such as Terraform, Bicep, and Ansible;

• Ensure secure and scalable integration of
- party AI providers and services;

• Build and manage CI/CD pipelines using Git
Hub Actions or Azure Dev
Ops;

• Oversee identity and access management via Microsoft Entra ID (Azure AD);

• Collaborate with
- functional teams to align cloud infrastructure with AI application needs;

•  Support cost optimization efforts for LLM inference and cloud resource usage.

Qualifications:

• 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. , Open
AI, Gemini, LLa
MA, Mistral, Ollama);

•  Knowledge of cloud security, IAM, network segmentation, and private cloud connectivity;

•  Experience with CI/CD tools, Git
Hub, and Dev
Ops practices;

•  Strong understanding of cloud cost optimization and Fin
Ops principles;

• Fluent in English; German is an advantage;

• Willingness to travel occasionally to Germany.