Vacancy: DataOps Engineer

Навыки

• Airflow
• Nexus / Artifactory
• AWS
• CI/CD
• ClickHouse
• ELK / Elastic Stack
• GitLab CI

Задачи

• Own release operations and ensure infrastructure stability
• Design, build, and maintain AWS infrastructure
• Build and maintain CI/CD pipelines to automate model and infrastructure deployments
• Manage Kubernetes clusters to ensure scalability, reliability, and high availability
• Set up and evolve monitoring, logging, and observability across infrastructure and ML services
• Automate infrastructure and operational workflows
• Build and evolve infrastructure for Data/ML services
• Improve infrastructure performance, resilience, and efficiency
• DataOps Engineer Hybrid
• Development
• Position

Требования

• 5+ years of experience in DevOps / DataOps
• Strong hands-on experience with AWS, including EC2, S3, EKS, and related services
• Deep understanding of Linux and *nix systems
• Experience setting up and managing Kubernetes clusters in cloud or on-premise environments
• Experience building and maintaining Helm charts
• Hands-on experience with GitLab CI/CD, Terraform, Terragrunt, and ArgoCDExperience with monitoring and logging tools, including Prometheus, Grafana, Loki, ELK, and VictoriaMetrics
• Experience with Data infrastructure and tools such as Airflow, Kafka, ClickHouse, Snowflake, and JupyterHub
• Experience with Vault, Nexus, SQL, and Python
• Knowledge of MLOps principles and experience automating ML development, testing, and deployment pipelines is a plus
• Experience building automation with Python or Go is a plus
• Strong troubleshooting skills and experience with low-level *nix performance tuning, particularly in cloud environments
• Understanding of Cybersecurity / AppSec and experience with Wazuh, auditd, or Falco is a plus
• Experience with cloud infrastructure and cost optimization using Karpenter, Kubecost, Infracost, and AWS tagging is a plus
• Experience with traffic management, ingress, load balancing, and TLS termination using Traefik, Istio, Nginx, and SSL/TLS certificates

Условия

• Position
• We're looking for a DataOps Engineer who knows how to build reliable infrastructure for Data/ML services, automate complex workflows, and keep systems stable and scalable under load
• Flexible work format: fully remote or from our offices
• Relocation support
• Competitive compensation
• Flexible start to the working day between 9:00 and 11:00
• The opportunity to work with complex cloud and Data infrastructure and deepen your technical expertise
• Reimbursement for sports and English language courses
• Access to our corporate library and reimbursement for mental health support
• Learning opportunities and knowledge sharing within a strong professional community
• An experienced technical team and plenty of room for professional growth

Паспорт вакансии

История публикации

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.