AI Infrastructure engineer Full-time

An AI Infrastructure Engineer to build, deploy, and maintain robust infrastructure solutions within cloud environments, tailored for AI and machine learning workloads. This role involves a mix of innovative infrastructure design, hands-on deployment, and meticulous maintenance to ensure operational excellence in AI-powered applications.

Benefits:

• Competitive salary 3175 – 5050 EUR gross
• Flexible vacation + health & travel insurance + relocation
• Work from home, flexible working hours
• Work with Fortune 500 companies from different industries all over the world
• Skills development and training opportunities, company-paid certifications
• Opportunities to advance career
• An open-minded and inclusive company culture

Key responsibilities:

• Architect and deploy cloud infrastructure solutions that are secure, scalable, and optimized for AI and machine learning workloads.
• Collaborate with AI teams to understand computational needs and translate these into infrastructure requirements.
• Monitor, manage, and optimize cloud resources to maximize performance and minimize costs.
• Design and implement continuous integration and delivery pipelines for AI applications.
• Develop automation scripts and infrastructure as code to streamline deployment and management tasks.

Required Qualifications:

• Good knowledge of cloud computing delivery models (IaaS, PaaS, and SaaS) and deployment models related to Public, Private and Hybrid Cloud service
• Proficient in Linux/UNIX or Windows environments, including scripting and administration.
• Familiarity with cloud data services and big data processing tools.
• Bachelor’s degree in Computer Science or Software Engineering
• 4+ years of relevant work experience in solutions design and engineering, Experience with containerization (Docker, Kubernetes) and cloud service providers (AWS, Azure, GCP).
• Strong automation development skills. Needs to be proficient in one or more automation languages [i. e. Ansible, Cloud Formations, Chef, Puppet, Terraform].
• Strong background in network architecture, database programming (SQL/NoSQL), and data modeling.
• Deep understanding of cloud component architecture: Microservices, Containers, IaaS, Storage, Security , Knowledge of routing/switching technologies.

Desired Qualifications:

• Detailed understanding of cloud automation and orchestration approaches and tools
• Experience with infrastructure as code (Terraform, CloudFormation) and automation tools (Ansible, Chef, Puppet).
• Knowledge of monitoring and logging tools (Prometheus, ELK, Grafana).
• 4+ years relevant experience of end-to-end Cloud Migration and transformation and solutions design and engineering
• Ability to lead a project from conception through design and implementation
• Experience in multi-tier traditional application architectures and in service decomposition and micro services
• Possession of a professional cloud certification and excellent oral and written communication skills in English.

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Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

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