Abnormal Security is looking for a Software Engineer II to join the Message Detection - Attack Detection team to build an extremely high recall Detection Engine that can operate on hundreds of millions of messages at milliseconds latency to protect customers against nefarious adversaries.
Requirements
- 3+ years of professional experience as a hands-on engineer building data-oriented products.
- Proven experience with data analysis and using metrics to answer critical questions about system efficacy and drive development.
- Experience with real-time, online, and/or high-throughput & low-latency distributed systems
- Strong ability to independently debug complex data and system issues using log analytics, metrics, and other signals.
- Knowledge of ML systems/products and/or distributed system technologies (feature platform serving systems, ML training and ML serving platforms, etc.)
- Experience working with high-throughput offline systems in Python and/or Go
- Familiarity with cyber security industry
Responsibilities
- Architect, build and deploy backend services and infrastructure that drive a world-class Detection Engine
- Deep inspection and row level data analysis of our false negatives and false positives, and produce feature insights and heuristic detectors to iteratively improve our detection efficacy.
- Design and implement feature extraction pipelines that transform raw email data and behavioural patterns into meaningful, efficient structured signals
- Optimize backend features and services that directly power customer-facing detection capabilities, ensuring high performance and reliability.
- Coach and mentor junior engineers via 1on1s, pair programming, high quality code reviews and design reviews
Other
- Works well with other stakeholders - has worked with cross-functional teams to drive projects over the finish-line.
- BS degree in Computer Science, Applied Sciences, Information Systems, or another related engineering field.
- MS degree in Computer Science, Electrical Engineering or other related engineering field
