Dev Ops Engineer at DATAGROUP in Rostock managing IT applications and cloud technologies. Collaborating with teams to support client IT transformations in a flexible work environment.
About the role
- SRE Metrics Analyst Intern improving system reliability through data collection and analysis. Engage with engineering teams to shape metrics strategies for operational excellence.
Responsibilities
- Design and implement a comprehensive metrics collection framework that captures key performance indicators (KPIs) related to system reliability and operational efficiency.
- Identify relevant metrics and establish methods for collecting, aggregating, and storing data from various sources, including monitoring tools, logs, and databases.
- Analyze collected metrics to identify trends, patterns, and anomalies that impact system reliability and performance.
- Develop dashboards and visualizations to present data in a clear and actionable manner using tools such as Grafana, Kibana, or Tableau.
- Create regular reports on system performance, reliability, incident response times, and other critical metrics for various stakeholders, including technical teams and management.
- Provide insights and recommendations based on data analysis to drive continuous improvement initiatives.
- Work closely with SRE teams to identify their metric needs and ensure alignment with operational goals.
- Collaborate with engineering and operations teams to ensure that metric collection is integrated into development and deployment processes.
Requirements
- Enrolled in a degree program in a related major - GPA 3.0 or better
- US citizenship required
- Ability to obtain and maintain a DoD security clearance
- Experience in metrics collection, data analysis, or reporting, preferably in a Site Reliability Engineering or DevOps environment.
- Proven experience in working with monitoring and observability tools (e.g., Prometheus, Datadog, New Relic).
- Strong understanding of key metrics used in site reliability engineering, including SLIs, SLOs, and SLAs.
- Proficiency in data analysis tools and languages (e.g., SQL, Python, R) for data manipulation and reporting.
- Experience with data visualization tools (e.g., Grafana, Kibana, Tableau) to create dashboards and reports.
Benefits
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
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