Software Engineer 2 - Message Security Products
Summary
Build backend services for Abnormal AI’s email-security platform, using Python/Golang and Kafka to process enterprise traffic and migrate customers off legacy gateways.
- Build and maintain backend services powering CEP's product surface
- Design and evolve event-driven pipelines (Kafka consumers, Airflow DAGs) that process email traffic reliably at enterprise scale.
- Work across a multi-tenant, multi-cloud deployment footprint (M365 and Google Workspace customers, FedRAMP environments)
- Leverage AI-augmented development tools to explore solutions, refine outputs, and deliver reliable production outcomes faster.
- Collaborate with product and cross-functional partners to iterate quickly on features that move customers from legacy SEGs to Abnormal.
- Contribute to service reliability, observability, and operational quality as the team scales its product surface.
- 3+ years of professional experience in software development.
- Backend development experience with Python or Golang.
- Experience building scalable, enterprise-grade applications.
- Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Strong fundamentals in computer science, data structures, and performance optimization.
- Experience with AI development tools such as Cursor, GitHub Copilot, or Claude.
- Experience with event-driven systems: Kafka, SQS, or similar message queue / stream processing patterns.
- Familiarity with email delivery pipelines, email authentication standards (DMARC, DKIM, SPF), or email security products.
- Exposure to multi-tenant SaaS architectures or enterprise integrations (M365, Google Workspace APIs).
- Experience improving service reliability, observability, and operational tooling in production systems.
- Prior work in cybersecurity, email security, or compliance-adjacent domains.