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Remote Senior Software Engineer - Scoring Infrastructure with verification

Abnormal Security  ·  nan, · Remote

Python

Docker Container Platforms

Kubernetes Container Platforms

Microsoft Outlook

Redis

Backend

Cyber Security

Jetzt bewerben

About the job

About The RoleAbnormal Security is looking for a Senior ML Infra Engineer 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 an ML Infra Engineer focused on building systems for Detection’s Signal Platform, you will be responsible for making feature development at Abnormal a fast, responsive, stable, and confident experience for Machine Learning Engineers.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.What you will do
  • Architect, design, build, and deploy backend services and infrastructure that support a world-class Detection Engine
  • Ownership projects that enable us to meet ambitious goals for, such as building the plan to scale components of Detection’s Scoring Pipeline by 10x
  • Collaborate closely with MLE teams, by distilling feedback, correlating it to our strategy, and executing
  • Coach and mentor junior engineers via 1on1s, pair programming, high quality code reviews and design reviews
Must Haves
  • 5+ years of professional experience as a hands-on engineer building data-oriented products
  • Experience with real-time, online, and/or high-throughput & low-latency distributed systems
  • Works well with other stakeholders - has worked with cross-functional teams to drive projects over the finish-line.
  • High standards - sets high standards and expectations for project execution for themselves and for collaborators
Nice to Haves
  • Knowledge of ML systems/products and/or distributed system technologies (Kafka, Redis, Docker, Kubernetes, feature platform serving systems, ML training and ML serving platforms, etc.)
  • Experience working with high-throughput online systems in Python and/or Go
  • MS degree in Computer Science, Electrical Engineering or other related engineering field
  • Familiarity with cyber security industry

Jetzt bewerben

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