Abnormal AI is seeking a Software Engineer to join the Scoring Orchestration team. The Scoring Orchestration team is responsible for building and maintaining stable, efficient, and hands-off systems that power the ingestion of billions of emails per day. Our systems are the backbone of Abnormal's core Inbound Email Security product. We handle the ingestion, attribute extraction and model scoring in a platform that can process upwards of 50K QPS across many data centers.
The Scoring Orchestration team develops and manages tier 0 backend services that are mission-critical to Abnormal's success, including but not limited to Notification Consumer (buffering, rate limiting and load balancing) and Realtime Scorer (live message processing, extraction and scoring).
This is a backend and systems-heavy team, and the ideal candidate will have experience working with distributed systems at scale and a passion for operational excellence.
What you will do- Design & execute software projects that are critical to Abnormal's core product, working with a team of engineers through conception, design, implementation, launch, and operation
- Own and improve the stability, performance, and scalability of tier 0 backend services that process billions of emails daily
- Collaborate with teams across R&D including Detection, Products, and Infrastructure to ensure Scoring Orchestration services meet the needs of the broader organization
- Participate in oncall rotations to maintain the reliability and uptime of mission-critical systems
- Drive continuous improvement by identifying opportunities to enhance system efficiency, reduce operational overhead, and increase reliability
- Raise the bar of engineering excellence, actively contributing to knowledge sharing within the team and participating in professional development activities
- BS degree in Computer Science, Applied Sciences, Information Systems or other related engineering field
- 3+ years of industry experience on backend software development & distributed systems, designing & building software applications
- Experience with our stack: Go and/or Python
- Experience working with distributed teams, proficient in asynchronous and written communication
- Experience building features & components from scratch and operating them, balancing feature development work with operational tasks
- Open to following pre-established guidelines, coding practices and conventions
- You’re growth driven & looking to increase impact & responsibility over time
- Experience with our stack: AWS, K8S, Kafka, Prometheus
- Experience profiling, debugging and investigating high performance online systems in Python
- Familiarity with AWS services and deployment practices
- Knowledge of containerization using Docker or similar technologies.
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Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
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What We Do
The Abnormal Security platform protects enterprises from targeted email attacks. Abnormal Behavior Technology (ABX) models the identity of both employees and external senders, profiles relationships and analyzes email content to stop attacks that lead to account takeover, financial damage and organizational mistrust. Though one-click, API-based Office 365 and G Suite integration, Abnormal sets up in minutes and does not disrupt email flow.
Abnormal Security was founded in 2018 by CEO Evan Reiser, CTO Sanjay Jeyakumar, Head of Machine Learning Jeshua Bratman, and Founding Engineers Abhijit Bagri and Dmitry Chechik. The team previously built behavioral profiling and machine learning technologies at Twitter, Google and Pinterest that are being applied to solve a problem that costs organizations $1 billion per year, according to the FBI. The Abnormal Security platform stops targeted phishing, business email compromise and account takeover attacks that have never been seen before.
