Infrastructure Engineer – Data & AI Platforms
Accenture BalticsLatvia9 hours ago
Full-timeRemote FriendlyInformation Technology
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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
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:
Key Skills
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