Senior Software Engineer

7 hours ago

Toronto, Ontario, Canada Abnormal Security Full time

Abnormal Security seeks a Senior ML Infra Engineer to build systems for its Detection Signal Platform.

The ideal candidate has a first principles approach to building scalable solutions, a drive to solve meaningful problems, and an ownership-oriented outlook.

  • Architect, design, build, and deploy backend services and infrastructure that support a world-class Detection Engine
  • Ownership projects that enable ambitious goals, such as scaling components of Detection's Scoring Pipeline by 10x
  • Collaborate closely with MLE teams, distilling feedback and executing strategy
  • 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
**About the Role** Abnormal 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. **Key Responsibilities** * Architect, design, build, and deploy backend services and infrastructure that support a world-class Detection Engine * Ownership projects that enable ambitious goals, such as scaling components of Detection's Scoring Pipeline by 10x * Collaborate closely with MLE teams, distilling feedback and executing strategy * Coach and mentor junior engineers via 1on1s, pair programming, high-quality code reviews, and design reviews **Requirements** * 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 Have** * 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

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