Cloud and DevOps Engineer New
Role details
Job location
Tech stack
Requirements
for automation and scripting. - Proven experience designing and maintaining CI/CD pipelines in production environments. - Experience managing infrastructure for machine learning model training and deployment. - Advanced English level, both spoken and written. - Demonstrated experience ensuring scalability, high availability, and resilience in cloud architectures. Nice to Have: - Experience with microservices-based architectures and containerization (Docker, Kubernetes). - Knowledge of observability practices (monitoring, logging, alerting). - Experience with cost governance and optimization strategies in complex cloud environments. - Familiarity with MLOps practices and the end-to-end lifecycle of ML models in production. - AWS or DevOps/MLOps-related certifications. We Offer - Permanent contract with a competitive salary - Flexible work model and remote work possibilities - Personalized career plan and continuous training (certifications, English, etc.) - Participation in
Benefits & conditions
stable, high-technical-impact projects - Adaptable working hours with a strong focus on work-life balance - Social benefits tailored to your needs J-18808-Ljbffr