Senior Software Engineer - Detection - Distributed Systems

Job Description Job Description About the Role Abnormal Security is looking for a Senior Engineer to join the Detection Team, working on projects that advance our Message Processing, Model Inference systems, and ML Infrastructure to 5x Scale. 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 helping make the world a safer place.

As an Engineer focused on building the Platform for our Email Detection Engine, you'll leverage your experience with high scale, distributed systems to build resilient solutions that solve critical problems such as: Ensuring that we have highly available signals, generated and served within tight SLAs Providing low latency live scoring for emails at 50k QPS Evolving our ML inference systems to power computationally intensive LLMs and other complex models The ideal candidate would have the following qualities: A first principles approach to building scalable, customer-centric solutions A drive to solve meaningful & pragmatic problems for real-world people An ownership and impact oriented outlook on your efforts and growth An ability to iterate in real-time-solving novel problems, quickly and autonomously What you will do Architect, design, build, and deploy backend services and infrastructure that support a world-class Detection Engine Ownership of projects that enable us to meet ambitious goals, such as building the plan to scale components of Detection's ML Platform, such as our Behavioral Aggregate Systems, by 10x Collaborate closely with MLE teams, by distilling feedback, correlating it to our strategy, and executing on projects that solve key customer pain points Coach and mentor junior engineers via high quality code reviews and design reviews Must Haves 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 Nice to Have Experience building ML systems/products Knowledge of key ML Ops team technologies (Spark, Data platform and Data coordination, Hadoop, Hive, feature platform serving systems, ML training and ML serving platforms, etc.) MS degree in Computer Science, Electrical Engineering or other related engineering field Experience with big data or statistics Experience in ML development Familiarity with cyber security industry At Abnormal Security certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. We know that benefits are also an important piece of your total compensation package.

Learn more about our Compensation and Equity Philosophy on our Benefits & Perks page. Base salary range: $175,800—$206,800 USD