Job
Description
What you will do Lead the design and implementation of a scalable , unified observability stack that bridges existing fragmented systems across federal and commercial environments, enabling comprehensive monitoring across all cellular deployments. Architect and deliver greenfield observability solutions including distributed request tracing, log analysis, and Prometheus scaling to support Abnormal's rapidly growing multi-region infrastructure spanning US, EU, Japan, and new data centers. Balance operational excellence with engineering innovation by automating repetitive tasks, resolving operational challenges through code, and maintaining an on-call rotation within a follow-the-sun model across global time zones. Drive technical ownership of critical observability infrastructure that directly impacts system reliability, performance, and availability across all Abnormal products while collaborating with cross-functional teams including TPMs, PMs, and Data Scientists. Must Haves 8+ years of software engineering experience with expertise in distributed systems, Python/GoLang, and AWS services Proven track record designing and implementing enterprise-scale observability solutions (metrics, logging, tracing) for complex multi-region environments Strong technical leadership abilities with experience balancing operational excellence and engineering innovation while mentoring team members Exceptional problem-solving skills with demonstrated success optimizing high-throughput, low-latency systems and automating operational workflows Effective communicator who can translate complex technical concepts across diverse stakeholders and drive collaboration between engineering, product, and data teams Nice to Have MS degree in Computer Science, Electrical Engineering or other related engineering field Experience with o11y tools including but not limited to Datadog, Chronosphere, Splunk, Prometheus, Grafana Familiarity with the cyber security industry
