Software Engineer II - Model Platform

Abnormal Security Corporation

Job Overview

Location

Remote - USA

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 to scale model serving and data processing services to handle 10x the current traffic volume while ensuring stability and performance.
• Design and maintain real-time and near real-time streaming pipelines and online feature serving services critical to email and cloud-based attack detection.
• Collaborate closely with Machine Learning Engineers and Data Science teams to distill feedback, align on strategic priorities, and execute on model platform improvements.
• Build scalable, customer-centric solutions with a first-principles approach, focusing on solving meaningful, real-world problems for security operations.
• Operate autonomously in a fast-paced environment, iterating quickly on novel problems with minimal supervision while balancing immediate needs with long-term scalability.
• Apply strong computer science fundamentals in data structures, algorithms, and performance optimization to enhance system efficiency and reliability.
• Maintain large-scale distributed systems on cloud platforms (AWS, GCP, or Azure) with adherence to cloud engineering best practices.
• Work effectively within distributed teams using asynchronous and written communication to drive alignment and deliver results across time zones.
• Continuously seek to increase impact and responsibility by owning high-leverage initiatives that elevate the entire Detection Team’s velocity and confidence.
• Translate complex technical challenges into manageable steps, prioritizing solutions that enable faster feature development for ML and Data Science stakeholders.
• Ensure the Model Platform remains stable, responsive, and reliable to support rapid iteration cycles for AI-driven threat detection models.
• Contribute to the evolution of the platform by incorporating feedback loops from model trainers and data scientists to improve data freshness, latency, and throughput.
• Participate in on-call rotations and incident response for critical model serving systems to ensure high availability and rapid recovery.
• Document system architectures, operational procedures, and decision rationale to enable knowledge sharing and reduce team dependency.
• Proactively identify bottlenecks in data pipelines or model inference workflows and implement optimizations to reduce latency and increase throughput.
• Evaluate and integrate new AI engineering tools to accelerate development cycles and improve engineering outcomes across the team.

🎯 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.
• Familiarity 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

• Base salary range of $149,200–$214,500 USD.
• Eligibility for bonus or incentive compensation.
• Equity compensation.
• Comprehensive benefits package.

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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