Junior DevOps Engineer

Описание

Alidjan Shoev DevOps Engineer 1+ years of experience DevOps with system Engineering experience. Good understanding of various cloud platforms such as AWS and GCP. Familiar with scalability technologies like Kubernetes. Comfortable with tools such as Jenkins and GitLab for setting up efficient and reliable code deployment pipelines. Common experience using VCS like GitHub, GitLab, and Subversion to manage code and track changes. Following best practices and experienced in implementing security systems to safeguard cloud environments. Having experience in coding with Python. Automate systems by the use of Bash scripting. Manipulate Infrastructure with (IaC) tools like Terraform and Ansible, using most popular providers/modules such as Helm, AWS, GCP and Proxmox. Toward to Monitoring & Metrics preference in Prometheus Stack and Grafana. Orchestrate projects in cluster env with Octopus. Core competencies Kubernetes, GCP, IaC Terraform, Ansible, Docker, Jenkins, GitLab OS platforms: Linux - Centos, Ubuntu, Debian, Windows Server Cloud infrastructure: AWS, GCP Containers/Virtualization: Docker, Kubernetes, Proxmox (KVM), VirtualBox, AWS ECS CI/CD: Jenkins, GitLab, GithubActions, CircleCI Automation tools: Terraform, CloudFormation, Ansible Data Warehouse: PostgreSQL, ElasticSearch Logging and Reporting: DB: Proxy: Prometheus, Grafana, ELK stack, Zabbix, Victoria Metrics MongoDB, Postgresql Nginx, Traefik Education GBEC Certificates Hobbies Reading, cycling Recent and major projects Project no.1: LVM Food Delivery Stack: Ansible, MongoDB, Postgresql, Telegram API, Nginx, Bash, Python, GCP, Firewall (iptables) Role: System Engineer Project description: Food Delivery Bot. This project involves the development and implementation of an interactive chat bot, powered by the Telegram API, that will allow people to order food conveniently and efficiently, right through their Telegram app. The Food Delivery Bot will be designed with a user-friendly interface, making it easy for your customers to browse through the menu, sеlесttheir preferred items, and place their order. The bot will also provide real-time updates on the status of the order, ensuring that your customers are always in the loop. Achievements: Migrating application from cloud to on-premise env. Autoscaling and performance by deploying DB clusters such as MongoDB, Postgresql Successful Integration of Telegram API: The Food Delivery Bot has been successfully developed and integrated with the Telegram API, allowing customers to place their orders directly through the Telegram app. Nginx high availability created by several nginx controllers Project no.2: ML cloud Stack: Docker, Terraform, Bash, GitLab CI, GCP (BigQuery, Dataflow, VM, Pub/Sub, CloudSQL), GCP Storage Transfer, CloudMonitoring Role: Systems Engineer (DevOps) Project description: Cloud-based platform focused on employee skill enhancement and talent management. The project involves architecting and automating GCP infrastructure using Terraform, Docker, and GitLab CI. Integrating BigQuery, Dataflow, Pub/Sub, and CloudSQL to support data-driven assessments, progress tracking, and feedback sharing for continuous learning and development. Achievements: CI/CD Pipelines: Implemented continuous integration and delivery pipelines in GitLab CI, enabling streamlined application deployment and updates. Data Management and Storage: Integrated CloudSQL for managing relational databases, ensuring secure and scalable storage for the platform's data. Optimized data pipelines to load and process data efficiently from CloudSQL to BigQuery for analytics.Continuous integration and delivery pipelines on GitLab were implemented. Utilizing BigQuery for data analytics, Dataflow for real-time and batch data processing, and Pub/Sub for reliable messaging between services.Containerization: Containerized applications using Docker, ensuring a consistent and isolated environment for development, testing, and deployment. Code monitoring with SonarQube was set up. Project no.3: InnoCloud Stack: KVM, Proxmox, Ansible, Jenkins, Jira tools, Bitbucket, Postgresql, MongoDB, OracleDB, Nginx, ELK Stack Role: Systems Engineer (DevOps) Project description: Created and Maintained by DevOps department for providing compute resources based on Proxmox cluster environment specially for Kuber and test zones for clients or developers needs. Achievements: Implement core Infra such LB, NFS, DB using Ansible and QM agent Grammarly allocate and bound nodes to several Kubernetes Clusters Designed and apply necessary tech stack for security - Cert Manager, Istio, KeyCloak Create CI / CD pipeline system using Jenkins and GitLabCI Containerized applications using Docker, operate them by Helm charts. Prepare and operate DB's release based on developers needs. Mostly relational databases* Implement weekly backups of nodes states. Monitoring and Logging using Prometheus stack and Grafana. Set up notification though Prometheus alertmanager and Google Chat API. Project no.4: VictoriaSupport Stack: VictoriaMetric, Grafana, Prometheus, Octopus, Github, Helm (Helmfile), Teleport, Traefik, Yandex Cloud, Terraform, Mimir, Jira Service Desk Role: SRE Project description: Maintain\Deploy Infra on multi clusters env established on Yandex Cloud/On-premise compute resources. Achievements: Create routes/auth middleware for new clusters. Correct metric flows for developer needs. Update / review custom helm charts of company. Patch existing at Prod/Dev/Def env. Add new releases. Add new projects to Octopus due automation needs. Write out a docs to related topics. Setup backups and recovery policy of crucial data