Senior Software Engineer Technical Lead

About Abnormal AI

Abnormal AI is on a mission to protect the world from cybercrime. We stand among the elite 0.09% of software companies that have achieved our level of scale and growth since 2010. Our edge? An AI-native security platform that anticipates and neutralizes cyberthreats before they materialize, propelling us from startup to enterprise-scale protector against sophisticated attacks.

Why Platform Infrastructure Matters

Platform Infrastructure(PI) is the bedrock of Abnormal's vision—the quiet force enabling every breakthrough. As the force multiplier behind our success, PI allows hundreds of engineers to focus on solving cybersecurity challenges without infrastructure headaches.

We've elevated PI from a support function to a strategic imperative because we know a company moves only as fast as its infrastructure allows. As we scale globally, PI becomes even more crucial—not just maintaining systems but architecting the foundation for our next phase of innovation.

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