Infrastructure Engineer – Data & AI Platforms

We are looking for an Infrastructure Engineer – Data & AI Platforms to design, build, deploy, and maintain secure, scalable, and reliable infrastructure solutions across cloud and on-prem environments.

In this role, you will help create the technical foundation for Data and AI platforms, including compute, storage, networking, container platforms, automation, and operational tooling. Depending on the engagement, you may act as an infrastructure SME responsible for platform design, technical guidance, deployment, and continuous improvement across different client environments.

Benefits:

Competitive salary 2600 - 4500 EUR gross

Flexible vacation

Health insurance

Hybrid work model: possibility to combine office and remote work.

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:

Design, build, and maintain infrastructure for Data and AI platforms across cloud and on-prem environments

Act as an SME in infrastructure design and help define platform foundations, standards, and technical approaches

Deploy and support secure, scalable, and reliable platform components and shared services

Automate infrastructure provisioning, configuration, and lifecycle management using infrastructure as code and scripting

Support container-based and platform environments, including Kubernetes and similar technologies

Manage and optimize compute, storage, networking, access controls, and system connectivity

Monitor infrastructure health, performance, capacity, and availability, and support issue resolution when needed

Contribute to platform improvement, modernization, and operational excellence across different client engagements

Collaborate with delivery teams and stakeholders to translate business and technical needs into infrastructure solutions

Required Qualifications:

4+ years of relevant experience in infrastructure engineering, platform engineering, cloud engineering, or solution engineering

Hands-on experience with cloud platforms such as AWS, Azure, or GCP

Good understanding of on-prem and hybrid infrastructure environments

Strong knowledge of Linux/UNIX or Windows server administration

Experience with containerization and orchestration technologies

Experience with infrastructure as code and infrastructure automation practices

Hands-on experience with modern automation, configuration management, and CI/CD tooling

Good understanding of networking, storage, security, and system integration

Ability to troubleshoot and support distributed infrastructure environments

Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience

Due to project requirements, candidates must currently hold EU work permit and be available to start within 1 to 3 months of receiving an offer.

Desired Qualifications:

Experience designing and supporting hybrid platform environments

Experience with monitoring, logging, alerting, and observability practices and tools

Experience supporting enterprise data platforms, AI platforms, or shared infrastructure platforms

Understanding of backup, disaster recovery, resilience, and operational support models

Experience contributing to infrastructure modernization, migration, or platform transformation initiatives

Professional cloud certification is a plus

Good oral and written communication skills in English

Infrastructure Engineer – Data & AI Platforms

Key Skills

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