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Abnormal Security

AI-driven email threat detection and prevention

Software Engineer 2 - Post Detection Enablement

Backend EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedHybrid

About the Job

Requirements

  • Have 3–5 years of production experience in backend development and systems design.
  • Have hands-on experience with Kafka, Kinesis, or similar message brokers or streaming platforms.
  • Have proven experience working with OpenSearch or Elasticsearch at scale.
  • Have deep familiarity with AWS, which is highly preferred, and mandatory production experience with EKS (Kubernetes).
  • Be proficient in Python or Golang and have solid experience with Postgres.
  • Be comfortable with zero-to-one challenges and defining requirements when specifications are loose.
  • Have a Bachelor of Science degree in Computer Science, Applied Sciences, Information Systems, or a closely related engineering field.

Responsibilities

  • Develop and maintain high-performance backend services using Python or Golang.
  • Build and optimize streaming architectures to handle live threat intelligence with low latency.
  • Implement and tune OpenSearch or Elasticsearch layers to make massive datasets searchable and actionable.
  • Translate high-level goals into technical specifications and clean, maintainable code.
  • Manage deployments and infrastructure within AWS/EKS.
  • Use AI tools to speed up development cycles and automate routine backend tasks.
  • Work closely with the team to identify architectural gaps and proactively suggest improvements.

Desired Qualifications

  • Have familiarity with React/TypeScript for building internal tools or data visualizations.
  • Have an interest in cybersecurity or experience working with security data.
  • Have experience using modern AI productivity tools to increase engineering velocity.

About the Company

Abnormal Security

AI-driven email threat detection and prevention

Abnormal Security provides AI-driven email security for large enterprises to prevent phishing, malware, and business email compromise. Its platform analyzes emails using machine learning to detect suspicious patterns and behaviors in real time, stopping threats before they reach users. The product integrates with existing email systems via an API, allowing quick deployment with minimal disruption. The company differentiates itself by focusing on sophisticated, modern threats that bypass traditional defenses, backed by a leadership team with deep AI, ML, and enterprise security experience, and by offering a subscription model that supports continuous protection and updates. The goal is to help organizations securely communicate by continuously detecting and blocking email-based attacks and staying ahead of attackers through ongoing research and development and growth.

Company size
1,001-5,000
Company stage
Series D
Total funding
$534M
Headquarters
Las Vegas, NV
Founded
2018

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