Senior Software Engineer, Abnormal Security

• 5+ years of professional experience as a hands-on engineer building data-oriented products
• Experience with real-time, online, and/or high-throughput & low-latency distributed systems
• Works well with other stakeholders - has worked with cross-functional teams to drive projects over the finish-line
• High standards - sets high standards and expectations for project execution for themselves and for collaborators

Desirable

• Abnormal Security is looking for a Senior ML Infra Engineer to join the Detection Team
• The Detection Division is focused on building the world’s most advanced technology for identifying and stopping email and cloud-based attacks that were previously undetectable and help make the world a safer place
• As an ML Infra Engineer focused on building systems for Detection’s Signal Platform, you will be responsible for making feature development at Abnormal a fast, responsive, stable, and confident experience for Machine Learning Engineers
• Architect, design, build, and deploy backend services and infrastructure that support a world-class Detection Engine
• Ownership projects that enable us to meet ambitious goals for, such as building the plan to scale components of Detection’s Scoring Pipeline by 10x
• Collaborate closely with MLE teams, by distilling feedback, correlating it to our strategy, and executing
• Coach and mentor junior engineers via 1on1s, pair programming, high quality code reviews and design reviews