DevOps Engineer

• Build and maintain CI/CD pipelines for automated testing and deployment of infrastructure services
• Design and manage AWS infrastructure using Terraform
• Automate network and server configuration with Ansible
• Optimize cloud resources and implement cost-effective solutions
• Monitor system performance and troubleshoot issues
• Implement security best practices and compliance automation
• Collaborate with development and operations teams
• Participate in HR and future-manager interviews during the hiring process

Senior DevOps Engineer

• Design, develop, and operate sophisticated cloud-based AI solutions built on the CNCF ecosystem, including Kubernetes
• Deploy AI infrastructure built on NVIDIA-certified hardware according to engineering architecture and implementation designs
• Ensure the reliability, security, and performance of container infrastructure
• Mentor team members and Mirantis customers
• Work with geographically distributed international teams on technical challenges and process improvements
• Develop, implement, maintain, and troubleshoot cloud and AI infrastructure solutions based on open source software
• Collaborate with stakeholders to gather and refine technical requirements
• Optimize system performance, reliability, and scalability
• Troubleshoot, debug, and resolve complex technical issues
• Participate in code reviews
• Stay current with industry trends and best practices in cloud operations and development
• Design and implement AI-driven automation across the DevOps lifecycle
• Facilitate knowledge transfer to customers during delivery phases
• Work with stakeholders to define technical strategies and solve complex challenges
• Ensure seamless integration of cloud and software services

Senior Site Reliability Engineer, SRE

• Contribute to the design, development, and operation of sophisticated cloud-based AI solutions built on the CNCF ecosystem, including Kubernetes
• Deploy AI infrastructure built on NVIDIA-certified hardware following engineering architecture and implementation designs
• Ensure the reliability, security, and performance of container infrastructure
• Mentor team members and Mirantis customers to deliver high-quality software and services
• Work with geographically distributed international teams on technical challenges and process improvements
• Develop, implement, maintain, and troubleshoot cloud and AI infrastructure solutions based on open source software
• Collaborate with stakeholders to gather and refine technical requirements
• Optimize system performance, reliability, and scalability
• Troubleshoot, debug, and resolve complex technical issues
• Participate in code reviews to maintain high quality standards
• Stay current with industry trends and best practices in cloud operations and development
• Design and implement AI-driven automation across the DevOps lifecycle, including code development and maintenance
• Facilitate knowledge transfer to customers during delivery phases
• Work closely with stakeholders to define technical strategies, solve complex challenges, and ensure seamless integration of cloud and software services

• Contribute to the design, development, and operation of cloud-based AI solutions built on the CNCF ecosystem, including Kubernetes
• Deploy AI infrastructure built on NVIDIA-certified hardware according to engineering architecture and implementation designs
• Ensure the reliability, security, and performance of container infrastructure
• Mentor team members and Mirantis customers
• Work with geographically distributed international teams on technical challenges and process improvements
• Develop, implement, maintain, and troubleshoot cloud and AI infrastructure solutions based on open source software
• Collaborate with stakeholders to gather and refine technical requirements
• Optimize system performance, reliability, and scalability
• Troubleshoot, debug, and resolve complex technical issues
• Participate in code reviews
• Stay current with cloud operations and development trends and best practices
• Design and implement AI-driven automation across the DevOps lifecycle
• Facilitate knowledge transfer to customers during delivery phases
• Work with stakeholders to define technical strategies and solve complex challenges
• Ensure seamless integration of cloud and software services

• Design, develop, deploy, operate, maintain, and troubleshoot cloud and AI infrastructure solutions based on open source software
• Deploy AI infrastructure built on NVIDIA-certified hardware according to engineering architecture and implementation designs
• Ensure reliability, security, and performance of container infrastructure
• Work with geographically distributed international teams on technical challenges and process improvements
• Collaborate with stakeholders to gather and refine technical requirements
• Optimize system performance, reliability, and scalability
• Troubleshoot, debug, and resolve complex technical issues
• Participate in code reviews
• Design and implement AI-driven automation across the DevOps lifecycle
• Facilitate knowledge transfer to customers during delivery phases
• Mentor team members and Mirantis customers
• Define technical strategies and ensure seamless integration of cloud and software services

• Work with geographically distributed international teams on technical challenges and process improvements
• Develop, implement, maintain, and troubleshoot cloud and AI infrastructure solutions based on open source software
• Deploy AI infrastructure built on NVIDIA-certified hardware according to engineering architecture and implementation designs
• Contribute to the design, development, and operation of cloud-based AI solutions built on the CNCF ecosystem, including Kubernetes
• Ensure the reliability, security, and performance of container infrastructure
• Mentor team members and Mirantis customers
• Collaborate with stakeholders to gather and refine technical requirements
• Optimize system performance, reliability, and scalability
• Troubleshoot, debug, and resolve complex technical issues
• Participate in code reviews
• Stay current with cloud operations and development industry trends and best practices
• Design and implement AI-driven automation across the DevOps lifecycle
• Facilitate knowledge transfer to customers during delivery phases
• Define technical strategies and ensure seamless integration of cloud and software services

DevOps Engineer jobs in Kazakhstan

Senior DevOps Engineer

Senior Site Reliability Engineer, SRE

Senior Site Reliability Engineer, SRE

Senior Site Reliability Engineer, SRE

Senior Site Reliability Engineer, SRE

Senior Site Reliability Engineer – SRE