SRE

Datadope offers intelligent operational analytics and monitoring solutions that help our clients improve the visibility of their services and business processes to enhance productivity, operational efficiency, and therefore reduce maintenance and costs.

We need fearless individuals who are willing to achieve the impossible because we know that in the path to the impossible, unexpected solutions are found.

We are looking for a Senior SRE focused on the support, implementation, optimization, and automation of monitoring and observability solutions in on-premise and cloud environments.

The ideal candidate must have skills in infrastructure, automation, and integration of observability tools, as well as problem-solving ability, teamwork, and effective client interaction.

• Implement and optimize monitoring and observability solutions in hybrid infrastructures (on-premise and cloud).
• Deploy and configure tools such as Zabbix, Prometheus, Grafana, Elastic Stack, Loki, and others.
• Automate monitoring and infrastructure configuration processes using Ansible, Terraform, or similar.
• Ensure the stability and performance of the monitoring environment and the monitored systems.
• Implement and manage dynamic and predictive alerting systems through data analysis.
• Develop technical, functional, and executive dashboards by integrating diverse data sources in Grafana.
• Manage infrastructure in AWS, Azure, and GCP, including Kubernetes and Docker.
• Administer relational and time-series databases such as PostgreSQL, MySQL, InfluxDB, and Prometheus.
• Drive SRE practices to enhance the use of automation and simplify routine tasks by developing scripts and tools.
• Perform daily support tasks, such as resolving incidents, processing change requests, and undertaking preventive maintenance actions.
• Develop, maintain, and evaluate the necessary metrics to provide 24/7 support.
• 4 years of experience in support, automation, and optimization of critical deployments on large infrastructures.
• Experience in Linux/Unix system administration.
• Knowledge in scripting and automation with Python, Bash, Shell scripting.
• Cloud environment administration: AWS, Azure, Google Cloud, Oracle Cloud.
• Experience with CI/CD (Jenkins, ArgoCD, GitOps).
• Advanced handling of monitoring and logging with tools such as Prometheus, Thanos, Zabbix, Elastic Stack, Loki, Redis, Metricbeat, Filebeat.

DESIRABLE KNOWLEDGE

• Knowledge in Infrastructure as Code (Terraform, Ansible, Kustomize).
• Administration of Kubernetes and container orchestration (Docker, OpenShift, Fleet/OSquery).
• University degree in Computer Science, Telecommunications, or similar is desirable.

Innovative projects with emerging technologies in autonomous AI.

High-performance team with a tech-first culture.

If the above fits you,
take a look at our general requirements: