DevOps Lead (вакансія неактивна)

• Expert level in Kubernetes engineering and frameworks
• Docker and Linux containers
• Experience with Terraform and Ansible
• Experience with Nginx, Ingress, and similar load balancing solutions
• 5+ years of experience working in large, high-volume, production distributed environments
• Experience in any data warehousings technologies such as Hadoop, Kafka or Cassandra
• Solid experience with CI systems and Build and Release processes
• Excellent analytical, debugging and problem-solving skills
• Excellent communication and teamwork skills
• Advanced knowledge of GIT
• Ability to learn and take responsibility for your work

• Experience with administration processing platforms such as Spark and Hadoop
• Good understanding of NoSQL systems like ClickHouse/Cassandra
• Knowledge of Python or Java
• Experience in configuration and deployment ClickHouse
• Understanding of data-mining process and Machine Learning operations

Fascinating projects
• Work with Machine Learning and Neural Networks
• No boring legacy systems
• Opportunity to influence the product’s quality

Productive work environment
• Convenient office location
• Fast-paced startup atmosphere
• An international team of experienced professionals
• Flat corporate hierarchy

Work terms
• Long-term employment
• 20 days of paid time off
• Flexible work hours

• Work on emerging technologies such as Apache Spark, Hadoop, and ClickHouse
• Be self-sufficient about functional and process tasks to work under minimal supervision or assistance
• Mentor the development and integration team on best practices for Kubernetes and Networking
• Assist and consult the development team to deal with hardware/performance issues
• Maintain and improve an interesting and challenging technology stack without legacy systems
• Maintain and integrate new non-disruptive solutions, assisting the dev team to help them build a highly-loaded system
• Work on security strengthening and incident monitoring

We are looking for experienced DevOps engineers to join our rapidly growing team. The candidate must be proficient in working with high-loaded projects that follow new trends and make use of cutting-edge technologies such as Kubernetes, Hadoop, and Apache Spark.