Software Engineer II - Model Platform

CanadaCanadaRemotemid
Software EngineerSoftware Engineering
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Quick Summary

Overview

About the Role Abnormal AI is looking for a Software Backend Engineer II to join the Detection Team.

Technical Tools
Software EngineerSoftware Engineering

About the Role

~1 min read

Abnormal AI is looking for a Software Backend Engineer II to join the Detection Team. 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 help make the world a safer place. As a Software Engineer focused on building systems for Detection’s Model Platform, you will be responsible for making feature development at Abnormal a fast, responsive, stable, and confident experience for our ML and Data Science team.

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
  • An ability to iterate in real-time - solving novel problems, quickly and autonomously

Responsibilities

~1 min read
  • Leverage the industry standard AI tools to architect, design, build, deploy and maintain Model Serving infrastructure that supports a world-class Detection Engine
  • Own projects that scale our model serving and data processing services to handle 10x the traffic we serve today
  • Own real-time, near real-time streaming pipelines, and online feature serving services
  • Collaborate closely with MLE and Data Science teams by distilling feedback, correlating it to strategy, and executing

Requirements

~1 min read
  • 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 the discovery, design, implementation and rollout of software systems 
  • Experience with maintaining large scale distributed systems on cloud platforms such as AWS, GCP, or Azure, including a strong grasp of best practices in cloud-based engineering.
  • 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. You’re capable of breaking down complex challenges into manageable steps and iterating on solutions, balancing immediate needs with long-term scalability.
  • You’re growth driven & looking to increase impact & responsibility over time
  • Strong fundamentals in computer science, data structures, and performance optimization.
  • BS degree in Computer Science, Applied Sciences, Information Systems or other related engineering field

Nice to Have

~1 min read
  • Familiarity with our stack (AWS, K8, Python/Django, Golang, Postgres)
  • Experience / passion in building scalable, enterprise-grade applications.
  • Experience with web security (eg. OWASP top 10)
  • Familiarity with AI development tools such as Cursor, GitHub Copilot, or Claude.

#LI-RT1


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.

Location & Eligibility

Where is the job
Canada
Remote within one country
Who can apply
CA

Listing Details

Posted
May 19, 2026
First seen
May 19, 2026
Last seen
May 20, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
68%
Scored at
May 20, 2026

Signal breakdown

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Software Engineer II - Model Platform