- Обо мне
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- Стоимость работы:
- от 2 000 руб. за час
- Профессиональный опыт:
- менее года
- Форма собственности:
- Физ. лицо
As a highly skilled DevOps Engineer with 6 of experience in automating and optimizing software development and operations processes. I have a broad range of technical skills and expertise, including: • Extensive experience with Linux and Windows servers, including installation, configuration, and maintenance. • In-depth knowledge of network technologies, including routing and switching protocols (EIGRP, OSPF, BGP, MPLS, HSRP, VRRP, VPN) and infrastructure and APM monitoring systems (PRTG, ELK, Datadog, Newrelic, OpManager). • Strong skills in virtualization technologies, including ESXi and Hyper-V, and experience with Microsoft services (Active Directory, DHCP, DNS, NPS, VPN, WSUS, etc.). • Experience with mail servers (Exchange, Postfix) and DNS servers (BIND, Microsoft DNS). • Proficiency in container orchestration using Kubernetes and Docker, and experience with Terraform and CloudFormation. • Hands-on experience with CI/CD pipelines using GitLabCI, Azure DevOps, Bitbucket, and GitHub Actions. • Deep knowledge of cloud platforms, including Azure (AKS, Container Registry, SQL databases, App insight, App services, Key vaults, Storage accounts, Traffic manager, etc.) and AWS (EC2, EKS, ECR, ECS, IAM, CloudFront, Load Balancer, S3, Elastic Beanstalk, WAF and Shield services, RDS, VPC, Document DB, Amazon MQ, ElastiCache, DynamoDB, Lambda Functions). • Experience with reverse proxy servers (Nginx, Apache, Nginx Ingress on k8s) and databases such as MySQL, MSSQL, PostgreSQL, MongoDB, Redis cache, RabbitMQ, and Elasticsearch. Highlights of my experience include: Implementing and maintaining CI/CD pipelines using tools such as Jenkins or GitLab to automate deployment processes and increase efficiency. Managing cloud infrastructure, including scaling and monitoring performance, to ensure high availability and scalability. Monitoring system performance using APM tools such as New Relic or Datadog to identify and resolve issues quickly and effectively. Managing and deploying containerized applications using Kubernetes and Docker, ensuring high availability and scalability.
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