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As the Platform Observability Engineering Manager within Ford’s Data Platforms and Engineering (DP&E) organization, you will lead a team responsible for building and maintaining a best-in-class platform for monitoring and observability. This platform will focus on the four golden signals (latency, traffic, errors, and saturation), providing critical data to support operations, root cause analysis, continuous improvement, and cost optimization initiatives. Working closely with platform architects, you will design, develop, and maintain a scalable and reliable platform, ensuring seamless integration with systems used by various teams across the organization. Your leadership will be key in mentoring your engineering team, driving improvements in MTTR and MTTX through increased visibility into system performance, collaborating with stakeholders to integrate observability data into their workflows, developing insightful dashboards and reports, continuously improving platform performance and reliability, optimizing costs, and staying current with industry best practices and technologies. The ideal candidate possesses extensive experience managing large-scale, high-availability systems, a deep understanding of the four golden signals, experience with monitoring tools (Prometheus, Grafana, Jaeger, etc.), strong leadership and communication skills, and ideally, experience with cloud platforms (AWS, Azure, GCP). This role prioritizes building and maintaining a robust platform; it is not focused on developing individual monitoring tools. Instead, it focuses on creating a centralized, reliable source of observability data that empowers data-driven decisions and accelerates incident response across the organization.
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