Software Engineer II - Model Platform

Abnormal Security Corporation

Job Overview

Location

Remote - Canada

Job Type

Full-time

Full Job Description

📋 Description

• Architect, design, build, deploy, and maintain Model Serving infrastructure that supports Abnormal Security’s world-class Detection Engine using industry-standard AI tools.
• Own end-to-end projects that scale model serving and data processing services to handle 10x the current traffic volume.
• Design and maintain real-time and near real-time streaming pipelines and online feature serving services critical to detection accuracy and latency.
• Collaborate closely with Machine Learning Engineers and Data Science teams to distill feedback, align on strategy, and execute on platform improvements.
• Build scalable, customer-centric backend systems with a first-principles approach focused on stability, performance, and long-term maintainability.
• Solve novel, high-impact problems autonomously in a fast-paced environment, iterating quickly while balancing immediate needs with architectural scalability.
• Ensure robust operation of large-scale distributed systems on cloud platforms (AWS, GCP, or Azure) with adherence to cloud engineering best practices.
• Contribute to the continuous improvement of the Model Platform by integrating feedback loops from ML teams and translating them into actionable engineering initiatives.
• Maintain high standards for system reliability, observability, and performance optimization across distributed services handling sensitive security data.
• Work effectively within a distributed, remote-first team using asynchronous and written communication to drive alignment and delivery.
• Break down complex technical challenges into manageable components, prioritize effectively, and deliver solutions that enable faster ML experimentation and deployment.
• Champion ownership and impact by taking initiative on platform improvements that directly enhance the productivity and confidence of data science stakeholders.
• Stay current with emerging AI engineering tools and practices to accelerate development cycles and improve system efficiency.
• Participate in code reviews, system design discussions, and on-call rotations to ensure platform reliability and operational excellence.
• Contribute to documentation and knowledge sharing to support team-wide adoption of best practices in model serving and data pipeline engineering.

🎯 Requirements

• 4+ years of experience as a Software Engineer or in a similar role, with hands-on experience in building data-focused solutions.
• Proficiency leveraging AI tools to accelerate engineering outcomes through discovery, design, implementation, and rollout of software systems.
• Experience maintaining large-scale distributed systems on cloud platforms such as AWS, GCP, or Azure, including strong grasp of cloud-based engineering best practices.
• Experience with maintaining real-time and near real-time data pipelines or streaming services.
• Experience working with distributed teams, proficient in asynchronous and written communication.
• Excellent problem-solving skills and the ability to work independently in a fast-paced environment, breaking down complex challenges into manageable steps.
• Strong fundamentals in computer science, data structures, and performance optimization.
• BS degree in Computer Science, Applied Sciences, Information Systems, or other related engineering field.

🏖️ Benefits

• Opportunity to work on mission-critical systems that stop previously undetectable email and cloud-based attacks.
• Collaborative environment with Machine Learning and Data Science teams to drive impactful, real-world security solutions.
• Remote-first culture with flexibility to work from anywhere in Canada.
• Exposure to cutting-edge AI engineering tools and practices in a high-growth cybersecurity company.

Skills & Technologies

Python

Django

PostgreSQL

AWS

Remote

Degree Required

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Abnormal Security Corporation

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About Abnormal Security Corporation

Abnormal Security Corporation provides cloud-native email security using behavioral AI to block business email compromise, phishing, malware, and socially-engineered attacks. The platform integrates via API with Microsoft 365 and Google Workspace, analyzing identity, content, and context to detect anomalies without altering mail flow. Founded in 2018 and headquartered in San Francisco, the company serves mid-market to Fortune 500 organizations, reducing risk, automating incident response, and providing visibility into human-targeted threats.

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