Senior Software Engineer, Observability
We standardize observability across engineering teams, design high-performing services, and promote effective observability practices. We seek your expertise in observability technologies--such as logging, metrics, search, analytics, and tracing--to develop impactful instrumentation and efficient data pipelines for application performance management. Your contributions will help strengthen our observability strategy and culture. We are seeking innovative problem-solvers who are passionate about large-scale distributed systems and have deep expertise in modern observability practices. As a small team tackling complex challenges at scale, we offer the opportunity to make significant technical contributions while driving observability culture across the organization. You have experience implementing distributed tracing systems using OpenTelemetry, Jaeger, or similar frameworks You've built and maintained large-scale and high-throughput realtime observability data pipelines You have worked with modern observability tools and platforms such as Grafana, Splunk, Chronosphere, Datadog, Prometheus, or similar solutions You have experience implementing observability solutions in cloud-native environments using Kubernetes You have experience mentoring teams on observability practices and driving adoption of new tools and processes You act like an owner and strive to do work you're proud of, both technically and in your team interactions You have experience with at least one of the core programming languages like Java, Rust, Golang, or Python You have 5+ years of experience in building scalable distributed systems You have a BS/MS/ Ph.D. in a scientific field or equivalent experience Design and implement a robust OpenTelemetry-based observability platform Work with modern cloud-native technologies including container orchestration (Kubernetes, Docker), service mesh solutions (Istio, Linkerd), and cloud platforms (AWS, GCP) Play a significant role in shaping the platform vision and defining feature roadmaps Mentor engineers across teams on observability practices and help cultivate a data-driven troubleshooting culture Participate in design reviews and architectural discussions to ensure observability is considered early in the development lifecycle
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