Build and maintain core backend services, infrastructure tooling, and data pipelines.
Improve the performance, scalability, resilience, and reliability of systems handling billions of events daily.
Build automated monitoring, alerting, and logging for system health and performance.
Use AI-powered development tools to accelerate development, automate workflows, and improve reliability.
Collaborate with Detection, Data Platform, and Product Engineering teams on platform integration and consistency.
Requirements
At least 2 years of software engineering experience with strong coding and problem-solving skills.
Hands-on Python backend development experience in cloud-native environments.
Understanding of databases, data pipelines, distributed systems, orchestration, and cloud infrastructure.
Familiarity with LLMs and AI development tools such as Cursor, GitHub Copilot, or Claude.
Experience or interest in building scalable, enterprise-grade systems that operate reliably in production.
Preferred familiarity with Docker, Kubernetes, Prometheus, Grafana, data platforms, streaming systems, or infrastructure-as-code.
Abnormal Security
Abnormal AI is the leading AI-native human behavior security platform, leveraging machine learning to stop sophisticated inbound attacks and detect compromised accounts across email and connected applications.