Job Description

Responsibilities

• Maintain and improve data pipelines for storing and analyzing routing service logs in a cloud-based data warehouse.
• Develop data pipelines that provide operational insights into deployed services.
• Build visualizations and dashboards showing routing service performance, reliability, failures, and usage patterns.
• Enhance monitoring systems, collect real-time service-health metrics, improve alerts, and create automated corrective-action runbooks.
• Use automation, monitoring, and infrastructure-as-code to support routing service operations.
• Collaborate with software development teams, technical support, product management, and other stakeholders to improve service observability and workflows.

Requirements

• At least 2 years of experience writing Python for data processing.
• Knowledge of loading, managing, and analyzing data in AWS using Athena.
• Experience developing dashboard applications with Grafana.
• Hands-on experience provisioning cloud infrastructure with Terraform.
• Successful collaboration with diverse, cross-functional teams.
• Bachelor’s degree in computer science, engineering, mathematics, or a related technology field.
• Preferred experience with pandas, Polars, or DuckDB.
• Preferred experience with AWS CloudWatch, Prometheus, mtail, and Grafana for web-service monitoring and observability.
• Preferred experience managing production alerts and incident-response workflows with PagerDuty.
• A master’s degree in a relevant field is preferred.

Benefits

• Medical, dental, vision, basic and supplemental life insurance for employees and their families.
• 401(k) and profit-sharing programs.
• At least 80 hours of vacation leave and twelve paid holidays per year.
• Opportunities for personal and professional growth.
• The role is onsite.
• There is no on-call requirement.

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