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Staff Software Engineer: Data & Infrastructure Platforms - Metrics & Alerting

Uber

About The Role

The Amsterdam Infrastructure team is part of Uber's global Platform Engineering organization and aims to provide the highest quality, reliable, scalable, and secure compute/data platforms to Uber employees globally, backed by a strong commitment to customer service.

We have a sophisticated infrastructure spanning both on-premise data centers and cloud, supporting a diverse variety of workloads, each different in its characteristics and requirements that support our internal corporate use cases and teams.

Our Amsterdam-based Infrastructure team will be responsible for designing, developing, and managing cloud infrastructure to automate the provisioning, configuration, and deployment of cloud resources across various cloud platforms to ensure scalability, reliability, and security within the infrastructure environment.

Our Amsterdam team is growing fast! If you are interested in solving infrastructure engineering challenges at a massive scale, we would love to hear from you.

What The Candidate Will Do

Staff engineers at Uber have a deep impact across a wide variety of business and technology decisions spanning multiple projects and locations. They are passionate and pragmatic technologists who are able to design, implement, and deliver scalable and resilient systems. They are not only collaborative role models but also approachable thought leaders within a larger group. They are humble teachers, technically mentoring a team of talented engineers while also executing on delivering uniquely challenging projects.

Additionally, the candidate will:

  • Integrate with monitoring tools to gather data from various sources (systems, applications, network devices).
  • Develop custom monitoring agents or scripts to collect specific metrics where necessary.
  • Set up thresholds and alerting rules based on collected metrics to trigger notifications for abnormal conditions.
  • Minimize false-positive alerts by refining alerting logic and anomaly detection techniques.
  • Create interactive dashboards to present key metrics and system health information in a user-friendly format.

Basic Qualifications

  • Bachelor's/Master's degree in Computer Science or equivalent experience.
  • Expertise in monitoring tools like Prometheus, Datadog, New Relic, or similar.
  • 4+ years of programming experience (e.g., Python, Go) for custom monitoring scripts and integrations.
  • Ability to collaborate with cross-functional teams across the organization.

Preferred Qualifications

  • Familiarity with Alertmanager.
  • Deploying services into Kubernetes.

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