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 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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