Position: Middle DevOps Engineer
Company: DICEUS
Experience required: 3y
English level: upper

Our team is looking for a strong middle DevOps Engineer.

Ideal candidate:
• An engineer with ~3 years of experience having used tools and technologies listed below.
• Great visual skillset, who can showcase previous dashboards that she/he worked on.
• Solid understanding of system logging, system monitoring, and databases.
• Excited to build dashboards and visualizations, based on system data, that will help the engineering, quality and field teams get better insights into system health, alert on potential issues, and offer fast status on everything from cloud infrastructure, network connectivity, app performance, and monitoring of remote instruments.
Required experience:
• (very important) Experience with Interpreting Data and building Visual Dashboards; ideally with Google Data Studio (Looker Studio) and Google Analytics, or maybe Power BI and similar tools
• (very important) Strong SQL skills and Database experience, e.g. MySQL and Big Query
• (very important) Logging tools, such as Datadog, Stackdriver, or New Relic
• (important) Cloud experience (GCP, AWS, Azure)
• (important) Some development experience
◦ (important) Scripting ~ Python, Perl, PHP
◦ (less important) Coding ~ Java, JavaScript, NodeJS
◦ (less important) APIs ~ REST, GraphQL
◦ (less important) Containers ~ Docker, K8s
• (less important) Linux environment, i.e. Bash/Shell
Example tasks:
• Maintain existing dashboards; modify existing ones, as needed
• Create new dashboards, and propose new ones
• Build graphs, maps, and other visualizations to best represent status
• Make use of data from BigQuery, MySQL, Datadog, Linux Log files, etc.
• Extract, copy, transform (e.g. ETL) data from various sources
• Find triggers, error codes, etc. to show anomalies in dashboards, and setup alerts
• Write scripts to collect new data or streamline data aggregation
Note: Engineering and DevOps teams will help provide the data (and setup infrastructure), as needed