Software Engineer II, Model Platform
Abnormal SecurityEmail Security company
Remote$149,200 - $214,500 USDMid
Wellington Management
Greylock Partners
Menlo Ventures
Insight Partners
CrowdStrike Falcon Fund
Data & AI
About the role
TL;DR
Build and maintain scalable model serving infrastructure for a world-class detection engine.
- •Abnormal AI is looking for a Software Engineer II to join the Detection Team.
- •The Detection Division is focused on building the world’s most advanced technology to identify and stop email and cloud-based attacks that were previously undetectable, helping make the world a safer place.
- •As a Software Engineer focused on building systems for Detection’s Model Platform, you will be responsible for making feature development at Abnormal a fast, responsive, stable, and confident experience for our ML and Data Science teams.
- •The ideal candidate brings a first-principles approach to building scalable, customer-centric solutions, an ownership-oriented mindset, and the ability to iterate quickly and autonomously on novel problems.
- •What You Will Do Leverage 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 and 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.
- •Must Haves 4+ years of experience as a Software Engineer or in a similar role, with hands-on experience building data-focused solutions.
- •Proficiency leveraging AI tools to accelerate engineering outcomes through discovery, design, implementation, and rollout of software systems.
- •Experience 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.
- •Experience with real-time and near real-time data pipelines or streaming services.
- •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, Kubernetes, Python/Django, Golang, and Postgres.
- •Experience building scalable, enterprise-grade applications.
- •Experience with web security (e.g., OWASP Top 10).
- •Familiarity with AI development tools such as Cursor, GitHub Copilot, or Claude.
Required skills
PythonAWSGoogle CloudAzureKubernetes
Nice-to-have skills
DjangoGoPostgreSQLOWASP
Domain expertise
cybersecurityai
Tech stack
PythonAWSGoogle CloudAzureKubernetesDjangoGoPostgreSQL