Cloud Observability Engineer Lead

Dayforce is a global human capital management company that offers a unified Cloud HCM platform. As a Lead Observability Engineer, you will provide senior technical leadership in the implementation and continuous improvement of Dayforce’s observability platform, ensuring reliable telemetry collection and operational workflows across distributed systems.

Responsibilities:

• Design, implement, and operate components of the Dayforce observability platform in alignment with architectural standards and platform strategy
• Lead implementation, tuning, and operational improvements across observability tooling including metrics, logs, traces, dashboards, alerting, and synthetic monitoring
• Apply best practices for telemetry collection and instrumentation across application and infrastructure workloads
• Build, maintain, and enhance dashboards and alerting mechanisms to support service ownership and incident response
• Enable and onboard engineering and infrastructure teams to drive consistent adoption and effective platform usage
• Design and optimize data pipelines for high-cardinality telemetry data, balancing performance, reliability, and cost
• Partner with platform and engineering teams to gather requirements and deliver solutions aligned to operational needs
• Provide mentorship through code reviews, documentation, and knowledge sharing
• Participate in on-call rotations and operational reviews to drive reliability improvements and post-incident learnings

Requirements:

• Must be a US citizen
• Ability to obtain US security clearance
• Design, implement, and operate components of the Dayforce observability platform in alignment with architectural standards and platform strategy
• Lead implementation, tuning, and operational improvements across observability tooling including metrics, logs, traces, dashboards, alerting, and synthetic monitoring
• Apply best practices for telemetry collection and instrumentation across application and infrastructure workloads
• Build, maintain, and enhance dashboards and alerting mechanisms to support service ownership and incident response
• Enable and onboard engineering and infrastructure teams to drive consistent adoption and effective platform usage
• Design and optimize data pipelines for high-cardinality telemetry data, balancing performance, reliability, and cost
• Partner with platform and engineering teams to gather requirements and deliver solutions aligned to operational needs
• Provide mentorship through code reviews, documentation, and knowledge sharing
• Participate in on-call rotations and operational reviews to drive reliability improvements and post-incident learnings
• Strong communication and collaboration skills across engineering and infrastructure teams
• Ability to gather requirements, prioritize effectively, and deliver high-quality solutions within defined scope
• Significant experience operating and troubleshooting distributed systems in production environments
• Experience implementing and operating observability platforms including metrics, logging, tracing, and alerting systems
• Hands-on experience with OpenTelemetry, distributed tracing, and APM tooling
• Experience working with data pipelines, ETL processes, and high-cardinality telemetry datasets
• Proficiency in at least one object-oriented programming language and one scripting language
• Demonstrated ability to deliver scalable, reliable, and maintainable technical solutions
• Strong interest in learning and adopting emerging technologies within an established architectural framework
• Bachelor's degree plus 5–10 years of related experience, Master's degree plus 6 years of related experience, or equivalent combination of education and experience
• Experience operating and tuning observability storage systems such as ClickHouse
• Hands-on experience with Kubernetes observability and monitoring containerized workloads
• Experience extending or integrating Grafana dashboards, data sources, or plugins
• Familiarity applying AI-assisted tooling to observability workflows
• Contributions to internal tooling, automation, or documentation that improved observability adoption and usability