Cloud and DevOps Engineer New

Propertyvalue
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

Amazon Web Services (AWS)
DevOps
Machine Learning
Data Logging
Cloud Platform System
System Availability
Containerization
Kubernetes
Machine Learning Operations
Docker
Microservices

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

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