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: 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 Compensation at Accenture varies depending on a wide array of factors including but not limited to role, level, location, effort, responsibility, skillset, and level of experience. We are hiring at the following management levels, and any offer will align with the base pay range according to the level at which you are assessed: Analyst: 3166 - 4200 Senior Analyst: 3300 - 4700 Team lead: 3800 - 5300 Associate Manager: 4100 - 6000 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