MLOps engineer

Навыки

• Ansible
• ArgoCD / Flux
• AWS
• CI/CD
• ClickHouse
• Коммуникация
• Confluence

Задачи

• Design and maintain SageMaker workloads for building, testing, and deploying models in cloud environments
• Automate infrastructure provisioning using gitops and infrastructure as code (Terraform, Ansible or equivalent)
• Monitor and maintain production, pre-production environments, ensuring high availability and performance
• Follow up on production alerts and help resolve them on time
• Document configurations, infrastructure components, and troubleshooting steps using Confluence
• Support cloud infrastructure alongside the DevOps team
• Support the infrastructure needs of globally distributed Data teams across time zones
• Participate in daily standups with the DevOps team, helping organize tasks and priorities
• You will play a key role in designing, implementing, and maintaining scalable, efficient infrastructure solutions to data pipelines, inference, observability
• This role is ideal for someone who enjoys solving complex problems, improving operational processes, and contributing to reliable, scalable systems
• It requires knowledge to design a system from scratch in an emerging data solution

Требования

• Bachelor’s degree in Computer Science, Mathematics, Information Technology, or similar (or equivalent experience)
• 4-6 years of experience in DevOps, system administration, or related fields
• 2 years of experience in MLOps or related fields
• Strong hands-on experience in Linux system administration
• Solid understanding of Kubernetes and Docker and experience using Docker Compose
• Experience with AWS and hybrid (cloud + on-prem) infrastructures
• Familiarity with CI/CD pipelines (e.g., GitHub Actions)
• Strong scripting skills with Python and/or Shell
• Experience using IaC tools
• Good communication skills in English (spoken and written), including reporting and documentation to stakeholders
• Job Description We are looking for a MLOps w/ DevOps Engineer with strong experience in cloud automation and deployment pipelines, primarily on AWS

Будет плюсом

• Experience implementing GitOps workflows (e.g., using ArgoCD)
• Certifications in AWS or Kubernetes
• Knowledge of Kafka
• Knowledge of ClickHouse
• Knowledge of PostreSQL
• Knowledge of MlOps
• Familiarity with virtualization technologies and networking

Условия

• Opportunities to work on impactful infrastructure projects on cloud environments
• A collaborative team focused on continuous improvement

Паспорт вакансии

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