Senior Cloud and DevOps Engineer
NEORIS, now part of EPAM Systems, is a Digital Accelerator that helps companies step into the future. With more than 20 years of experience as Digital Partners to some of the world’s leading organizations, we are over 4,000 professionals across 11 countries. We foster a multicultural, startup-minded culture that promotes innovation, continuous learning, and the delivery of high-impact solutions for our clients.
We are looking for: Senior Cloud & DevOps Engineer
We are seeking a senior-level professional with strong expertise in cloud infrastructure and automation within AI and machine learning environments. The selected candidate will be responsible for designing, optimizing, and securing scalable platforms for model training and deployment, ensuring operational efficiency, cost control, and high availability.
Key Responsibilities:
- Manage cloud infrastructure and optimize costs, particularly in AWS environments using Terraform and Python.
- Design, develop, and maintain CI/CD pipelines and infrastructure for AI model training and deployment.
- Ensure platform scalability and efficient resource utilization.
- Conduct technical research, analyze findings, and propose optimized architectural solutions.
- Troubleshoot incidents and guarantee smooth, zero-downtime deployments.
- Collaborate closely with AI Ops and technical teams to ensure platform performance, stability, and reliability.
Requirements:
Mandatory:
- Minimum of 7 years of professional experience in similar roles (Cloud Engineer, DevOps Engineer, MLOps Engineer, or related positions).
- Advanced hands-on experience with AWS (infrastructure management, networking, security, and cost optimization).
- Strong expertise in Terraform for Infrastructure as Code (IaC).
- Solid experience using Python 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 stable, high-technical-impact projects
• Flexible working hours with a strong focus on work-life balance
• Social benefits tailored to your needs
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