— At least 3+ years of DevOps experience or similar role focused on reliability, high-availability, performance, scalability, capacity planning and automation of everything
— Experience at troubleshooting and administering Unix/Linux systems
— Deep understanding of fundamental network technologies like DNS, Load Balancing, SSL, TCP/IP, HTTP
— Hands-on experience with:
— Version control systems: Git
— CI/CD tools: Jenkins, GitLab CI/CD
— AWS cloud infrastructure
— Docker containers
— Container orchestration and clustering: Kubernetes
— Kubernetes package manager: Helm
— IaC tool: Terraform, Ansible
— Logging stack: ElasticSearch, Filebeat, Kibana
— Monitoring stack: Prometheus/Grafana
— Scripting language: Bash, Groovy
— DB: Oracle, RDS, PostgreSQL, MySQL
— Streaming platform: Kafka
— Web: nginx, apache, websockets
— Kafka experience in a production environment
— Medical insurance
— Competitive compensation depending on experience and skills
— English Courses in the office
— 40 hours/week flexible working schedule
— The friendly and supportive company environment
— Setup Cloud/Kubernetes infrastructure using IaC approach
— Develop and support CI/CD
— Configure monitoring and logging
— Prompt response to any arising issues
— Analysis of failures, identifying and isolating the source of problems
— Automation of routine tasks
We’re looking for DevOps who are open for professional growth and motivated to work on dynamic, complex projects.
Our client list includes global companies, banks, airlines, telecom and retailers. We provide the customized software development services using the most modern software technology and programming languages.
The DevOps team is responsible for designing and implementing DevOps solutions throughout the DevOps pipeline, starting from the SCM and repository management through build and automation orchestration, up until the deployment and configuration steps. We are using cutting edge technologies as well as well-proven solutions. Our technology stack includes but is not limited to AWS, Docker, Kafka, Kubernetes, Ansible, Terraform, GitLab, Jenkins, Prometheus, Grafana, Elasticsearch, Kibana. The process of investigating and implementing new technologies is continuous.