DevOps-инженер
Зарплата | от 1500 USD |
от 1500 USD | |
Занятость | Полная занятость |
Полная занятость | |
Адрес | Узбекистан, Ташкент, улица Богишамол, 260А |
Design, implement, and manage CI/CD pipelines for deploying AI and web services.
Automate infrastructure provisioning using tools like Terraform, Ansible, or Pulumi.
Manage and monitor cloud-based infrastructure (AWS, GCP, or Azure).
Containerize applications and manage orchestration using Docker and Kubernetes.
Set up and manage message brokers like Apache Kafka for streaming pipelines and real-time data ingestion.
Set up monitoring and alerting systems using Prometheus, Grafana, or the ELK stack.
Collaborate with engineering teams to ensure scalable and reliable deployments.
Maintain version control, environment consistency, and backup strategies.
Ensure security best practices across cloud and internal environments.
4–5 years of hands-on DevOps experience in production environments.
Strong knowledge of CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, or CircleCI.
Experience with containerization and orchestration tools (Docker, Kubernetes).
Proficiency in scripting (Bash, Python, or Shell).
Hands-on experience with Apache Kafka setup, monitoring, and scaling in production.
Familiarity with infrastructure-as-code (Terraform, Ansible, CloudFormation).
Solid understanding of cloud services (AWS, GCP, or Azure).
Strong troubleshooting skills and system-level debugging.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Условия:
Experience working with AI/ML model deployment pipelines.
Familiarity with serverless technologies (e.g., AWS Lambda, Cloud Functions).
Experience with secrets management and secure deployments.
Exposure to MLOps platforms like MLflow, Kubeflow, or Airflow.
Understanding of GitOps principles and tools like ArgoCD or Flux.
Experience with Kafka-based event-driven microservices or streaming analytics.
What We Offer:
Competitive salary + performance bonuses
Projects involving real-time AI and scalable cloud solutions
Supportive and highly technical team environment
Flexible work hours and remote work options
Learning opportunities including DevOps certifications and conferences
Опыт | От 3 до 6 лет |
График работы | Удаленная работа |