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Abnormal

Software Engineer II, Model Platform

Remote - USA (Remote)From $214.5kmidAdded 6 days ago

About this role

Abnormal AI is hiring a Software Engineer II to design and maintain model serving infrastructure for their Detection platform. You'll scale data processing and streaming systems to support ML teams detecting email and cloud-based attacks, working with cloud platforms and real-time pipelines.

What you'll do

  • Architect and deploy model serving infrastructure supporting the Detection Engine on cloud platforms
  • Own projects scaling model serving and data processing services for 10x traffic growth
  • Build and maintain real-time and near real-time streaming pipelines and feature serving systems
  • Collaborate with ML Engineering and Data Science teams to translate feedback into technical execution
  • Optimize large-scale distributed systems for performance and reliability
  • Use AI development tools to accelerate design, implementation, and rollout of software systems

What they're looking for

  • Distributed systems design and maintenance
  • Real-time and near real-time data pipelines
  • Cloud platforms (AWS, GCP, or Azure)
  • Python/Django and Golang
  • Data structures and performance optimization
  • Kubernetes and containerization
  • Postgres and database design
  • AI-assisted development tools

Benefits

  • Base salary between $149,200–$214,500
  • Bonus or incentive compensation
  • Equity
  • Comprehensive benefits package
  • Remote work (USA-based)
  • Opportunity to work on critical security infrastructure
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Abnormal

Abnormal builds AI-powered email security solutions that protect against threats through narrative-driven threat understanding, SMTP relay infrastructure, and advanced filtering capabilities. The company is hiring software engineers, infrastructure engineers, sales engineers, and technical support specialists to expand its platform and support enterprise customers.

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Likely interview questions

  • Tell us about your experience designing and maintaining real-time or streaming data pipelines at scale—what challenges did you face and how did you solve them?
  • How have you used AI-assisted development tools like Cursor, GitHub Copilot, or Claude to accelerate your engineering workflow?
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