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Abnormal Security

Software Engineer II – Model Platform

Abnormal Security

Software Engineer II developing systems for AI detection technology at Abnormal AI. Focused on building scalable solutions for model serving infrastructure and collaboration with data science teams.

Posted 5/19/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $149,200 - $214,500 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudDistributed SystemsGoogle Cloud Platform

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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.

Benefits

Comp & perks
  • Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
  • In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.

ATS Keywords

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Hard Skills & Tools
AI toolsdata processingmodel servingreal-time data pipelinescloud platformsAWSGCPAzuredistributed systemsperformance optimization
Soft Skills
problem-solvingindependent workcommunicationcollaborationgrowth drivenstrategic executionfeedback distillationcomplex challenge breakdowniteration on solutionsresponsibility increase
Certifications
BS degree in Computer ScienceBS degree in Applied SciencesBS degree in Information Systems