AI Infrastructure Engineer

AI Infrastructure Engineer

Overview

Join our team as an AI Infrastructure Engineer, where you will be responsible for building, deploying, and maintaining robust infrastructure solutions within cloud environments, specifically 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.

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 services.
• 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 (e.g., 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, and 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 microservices.
• Possession of a professional cloud certification and excellent oral and written communication skills in English.

Benefits

• Competitive salary ranging from 2625 to 4300 EUR gross.
• Flexible vacation policy, health & travel insurance, and relocation support.
• Work from home with flexible working hours.
• Opportunities to work with Fortune 500 companies from various industries worldwide.
• Skills development and training opportunities, including company-paid certifications.
• Opportunities to advance your career in an open-minded and inclusive company culture.

Location

This position is based in Riga, Latvia, with a hybrid work model allowing for both on-site and remote work.