Software Engineer II - Model Platform

Abnormal AI Abnormal AI · Vertical AI · United States · Remote · Message Security Detection

Software Backend Engineer II to join the Detection Team, focused on building and maintaining Model Serving infrastructure and data processing services to support a world-class Detection Engine. The role involves scaling services to handle increased traffic and owning real-time data pipelines.

What you'd actually do

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

Skills

Required

  • 4+ years of experience as a Software Engineer or in a similar role
  • hands-on experience in building data-focused solutions
  • Proficiency leveraging AI tools to accelerate engineering outcomes
  • Experience with maintaining large scale distributed systems on cloud platforms such as AWS, GCP, or Azure
  • 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
  • Excellent problem-solving skills
  • 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

  • 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

What the JD emphasized

  • large scale distributed systems on cloud platforms
  • real-time and near real-time data pipelines or streaming services
  • Excellent problem-solving skills

Other signals

  • model serving infrastructure
  • scale our model serving and data processing services
  • real-time, near real-time streaming pipelines, and online feature serving services