
DevOps Analytics Engineer
1 week ago
Key Responsibilities:
- Design, develop, and maintain DevOps analytics frameworks and dashboards to monitor CI/CD pipelines, system performance, and deployment metrics.
- Analyze large volumes of telemetry and log data from automotive software and infrastructure to identify bottlenecks and improve reliability.
- Build and optimize data pipelines for collecting, processing, and visualizing operational data using modern analytics tools.
- Support troubleshooting and root cause analysis for complex production issues by leveraging analytics and monitoring tools.
- Stay current with emerging trends and technologies in DevOps and analytics to propose innovative solutions for automotive software delivery.
Required Skills & Qualifications:
- 4 to 7 years of professional experience in DevOps, or related roles with a strong focus on analytics.
- Strong expertise in CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps, CircleCI).
- Solid understanding of cloud platforms (AWS, Azure, or GCP) and container orchestration tools like Kubernetes and Docker.
- Experience with scripting languages (Python, Bash, etc.) for automation and data processing.
- Familiarity with data visualization and business intelligence tools (Tableau, Power BI, etc.).
- Excellent problem-solving and communication skills to work effectively with cross-functional teams.
- Degree in Data Science, Statistics, Computer Science or other related fields or an equivalent combination of education and experience.
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