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.

AI Infrastructure engineer

Key Skills

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