Abnormal SecurityAS

Senior Software Engineer - Scoring

Abnormal Security uses behavioral AI and ML models to learn the behavior of all employees and partners.

Abnormal Security

Employee count: 501-1000

Salary: 176k-207k USD

United States only

About the Role

Abnormal Security is seeking a Senior Backend Software Engineer to join our Detection Team. The Detection Division is at the forefront of developing cutting-edge technology to identify and thwart sophisticated email and cloud-based attacks that were previously undetectable, contributing to a safer digital world. As a Senior Software Backend Engineer focusing on the Detection's Serving Platform, you will be instrumental in scaling and optimizing our high-throughput, low-latency scoring infrastructure to ensure a fast, responsive, stable, and reliable experience for our customers .

The ideal candidate will possess:

  • A proven track record of scaling high-throughput, low-latency model scoring infrastructure
  • Experience in maintaining 99.99% uptime for services handling 50k+ QPS
  • A first-principles approach to architecting scalable, customer-centric solutions
  • A passion for solving complex, real-world problems with pragmatic solutions
  • Strong ownership mentality and impact-driven outlook on efforts and growth
  • Ability to iterate rapidly and autonomously on novel challenges
  • Experience with performance engineering - in identifying and resolving bottlenecks in systems and improving the performance in an iterative way

Key Responsibilities

  • Lead the architecture, design, and implementation of highly scalable backend services and infrastructure supporting our world-class Detection Engine
  • Spearhead critical projects to meet ambitious goals, such as scaling components of Detection's Scoring Pipeline by 10x while maintaining or improving performance
  • Collaborate closely with ML Engineering teams to gather requirements, provide technical leadership, and drive execution of infrastructure improvements
  • Mentor and coach junior engineers through 1-on-1s, pair programming, and high-quality code and design reviews
  • Continuously optimize system performance, reliability, and efficiency to meet growing demand and evolving threat landscape

Requirements

  • 5+ years of professional experience as a hands-on engineer building and scaling data-intensive products
  • Extensive experience with real-time, online, high-throughput & low-latency distributed systems
  • Proven ability to maintain 99.99% uptime for services handling 20k+ QPS
  • Strong track record of cross-functional collaboration and driving complex projects to completion
  • Demonstrated leadership in setting and maintaining high standards for project execution and code quality
  • Experience in fast-paced or start-up like environment
  • Experience with cloud-native architectures and microservices
  • Experience with event-driven architecture such as Kafka, Pub/Sub, etc.

Preferred Qualifications

  • Familiarity with ML systems/products and distributed system technologies (e.g., Python, Golang, Kafka, Redis, Docker, Kubernetes, feature serving platforms, ML training and serving infrastructures)
  • Hands-on experience optimizing high-throughput online systems
  • Familiarity with the cybersecurity industry or fraud detection and its unique challenges

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:$176,000—$207,000 USD

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Senior

Salary

Salary: 176k-207k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Abnormal Security

Learn more about Abnormal Security and their company culture.

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Abnormal Security uses behavioral AI and ML models to learn the behavior of all employees and partners. This approach allows Abnormal to stop the full spectrum of email attacks—credential phishing, business email compromise, vendor invoice fraud, and more—as well as emerging attack types across email and collaboration apps.

We are driven to deliver frictionless user experiences while building a durable platform that will continue to offer the highest efficacy protection for our customers. That’s why customers trust us to keep their cloud email secure.

The Abnormal leadership team is composed of visionaries with decades of AI and ML experience, dedicated to delivering an exceptional customer experience. Their careers span influential roles at companies like Google, Twitter, Amazon, Proofpoint, Okta, Salesforce, and Slack.

Employee benefits

Learn about the employee benefits and perks provided at Abnormal Security.

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Virtual lunch budget

Monthly virtual lunch budget for employees

Paid parental leave

12 weeks paid maternity and paternity leave

Unlimited PTO

Regular salaried team members enjoy unlimited PTO

Pre-tax commuter benefits

Employees can contribute pre-tax for public mass transit

View Abnormal Security's employee benefits
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Abnormal Security

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