DataOps

DataOps at 7 Red Lines, an AI integrator. Full-time, remote, salary 200-250K RUB. Responsibilities include DevOps, data engineering, and AI automation.

7 RED LINES is a new generation AI integrator. Since 2016, we have been implementing complex IT projects for large companies, and today we are actively developing AI, Data, and intelligent automation. Responsibilities: • Develop and maintain IT infrastructure, ensure stability and fault tolerance of systems. • Configure and support CI/CD processes, automate deployment and operation of services. • Work with containerization and orchestration based on Docker and Kubernetes. • Automate infrastructure and operational tasks using Ansible, Bash, and Python. • Administer databases, ensure backup, recovery, and monitoring. • Support and optimize data loading, transformation, and processing (ETL) processes. • Participate in the development of data warehouses (DWH) and data marts. • Configure monitoring, alerting, and diagnostics of infrastructure and services. • Analyze and resolve performance, loading, and data processing issues. • Use AI tools and AI agents to automate routine DevOps tasks and improve work efficiency.

• Experience in DevOps and/or Data Engineering from 4 years with practical skills in both areas. • Strong knowledge of Linux (Ubuntu/Debian, CentOS/RHEL). • Experience with Docker, Kubernetes, and Helm. • Practical experience with Ansible and CI/CD based on GitLab. • Automation skills using Bash and Python. • Strong SQL and experience with PostgreSQL. • Experience with one or more DBMS: PostgreSQL, ClickHouse, Greenplum. • Understanding of data warehouse (DWH) principles and ETL process organization. • Experience with Apache NiFi and/or Apache Airflow. • Experience setting up monitoring and alerting (Grafana, Prometheus or similar). • Understanding of network technologies and protocols TCP/IP, HTTP, DNS. • Ability to independently solve technical tasks and interact with the project team. Nice to have: • Practical experience developing ETL processes, warehouses, and data marts. • Experience with Python libraries SQLAlchemy and Pandas. • Familiarity with Arenadata products (ADB, ADS, ADH). • Experience with Hadoop, PySpark, or Apache Kafka. • Experience with Terraform and OpenStack. • Experience setting up high-availability and scalable systems. • Understanding of Data Quality principles and experience automating data quality checks. • Practical experience using AI/LLM tools and AI agents to automate engineering tasks.

Employment: full-time Work format: remote Registration: under the Labor Code of the Russian Federation Salary: 200-250K RUB (net), discussed after interview