Обязанности:

Design, implement, and maintain scalable data platform infrastructure with a focus on high availability and performance.
Manage and optimize Kubernetes clusters and containerized workloads using Helm, Docker, and Nginx.
Implement and manage CI/CD pipelines using GitLab for seamless deployment and automation.
Monitor system health and performance using Grafana, Loki, and Prometheus, ensuring observability and real-time alerting.
Automate infrastructure provisioning and configuration management using Terraform.
Support and administer distributed messaging systems like Kafka for real-time data streaming.
Administer and optimize relational and analytical databases, including PostgreSQL, Greenplum, Oracle, CloudNative Postgre, and MSSQL.
Work with CDC (Change Data Capture) tools such as Debezium and GoldenGate to manage real-time data replication.
Develop and maintain scripts in Python to automate infrastructure and data workflows.
Troubleshoot system issues and performance bottlenecks to maintain platform reliability.
Collaborate with development and data teams to align platform capabilities with business needs

Требования:

Bachelor's degree in Computer Science, Software Engineering, or a related field.
Experience in DevOps, SRE, or Platform Engineering roles with a focus on data infrastructure.
Strong expertise in Kubernetes, Helm, Docker, and Nginx.
Hands-on experience with GitLab CI/CD for automated deployments.
Knowledge of observability tools such as Grafana, Loki, and Prometheus.
Proficiency in Terraform for Infrastructure-as-Code (IaC) automation.
Experience working with Kafka for data streaming.
Strong administration and troubleshooting skills with PostgreSQL, Greenplum, Oracle, CloudNative Postgre, and MSSQL.
Familiarity with CDC tools like Debezium and GoldenGate.
Proficiency in Python for scripting and automation.
Excellent troubleshooting, problem-solving, and system administration skills.
Strong teamwork, communication, and documentation skills.

DevOps Engineer