Senior DevOps Engineer (Analytics team)

Posted 14 days agoViewed

💎 Seniority level: Senior, proven experience in DevOps or site reliability engineering

📍 Location: Czechia, Slovakia, Central European Timezone, NOT STATED

🔍 Industry: E-commerce, digital commerce

🗣️ Languages: English

⏳ Experience: Proven experience in DevOps or site reliability engineering

🪄 Skills: PythonBashGCPKubernetesMongoDBApache KafkaClickhouseGoGrafanaPrometheusCI/CDScripting

Experience: Proven experience in DevOps or site reliability engineering, preferably with databases on GCP and Kubernetes.
Skills: Expertise in automation and scripting (Python, Go, Shell), performance tuning, and incident management.
Tools: Familiarity with monitoring, logging, and automation tools.
Problem-solving: Strong analytical and problem-solving abilities.
Communication: Excellent communication and collaboration skills.
Adaptability: Ability to work independently and handle multiple tasks.

System Administration: Manage and configure our database systems on GCP within Kubernetes.
Incident Management: Handle incident responses and perform root cause analysis.
Automation and Tools Development: Create and maintain automation scripts.
Scaling and Resource Planning: Monitor performance and ensure adequate resources.
Monitoring and Logging: Set up monitoring systems to address issues.
Backup and Recovery: Develop and manage backup strategies for business continuity.
Collaboration: Work closely with development and operations teams.

Posted 30 days ago

📍 Czechia, Slovakia

🔍 E-commerce, digital commerce

Proven experience in DevOps or site reliability engineering, preferably with databases on GCP and Kubernetes.
Expertise in automation and scripting (e.g., Python, Go, Shell), performance tuning, and managing incidents.
Familiarity with monitoring, logging, and automation tools.
Strong analytical and problem-solving abilities.
Excellent communication and collaboration skills for working with remote teams.
Ability to work independently and handle multiple tasks in a fast-paced environment.

Manage and configure our database systems on GCP within Kubernetes for high availability, reliability, and performance.
Handle incident responses, perform root cause analysis for critical issues, and participate in a 24/7 on-call rotation.
Create and maintain scripts and tools to automate operations and reduce manual tasks.
Monitor system performance, plan for future scaling, and ensure enough resources during peak times.
Set up and maintain monitoring and logging systems to detect and address issues early.
Develop and manage strategies for data backup and disaster recovery to ensure business continuity.
Work closely with development and operations teams to align operations with overall business goals.

PythonGCPKafkaKubernetesMongoDBClickhouseGoGrafanaPrometheusCI/CDScripting

Posted 30 days ago

🔧 Requirements