AI Infrastructure engineer

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 2625 - 4300 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.