Software Engineer 2 (Fullstack), Threat Narrative

Abnormal AI is dedicated to protecting enterprises from advanced email and collaboration attacks. The Software Engineer, Fullstack on the Threat Narrative team will design and implement fullstack features to communicate detection narratives to customers, working closely with various teams to enhance the customer experience.

Responsibilities:

• Design and implement fullstack features across Threat Narrative and Email Details surfaces, including customer portal components, internal analyst tools, and QBR-facing outputs, with guidance from senior engineers
• Implement and evolve APIs and services that generate enriched narratives from attack data, enrichment signals, and GenAI/LLM agents, following established contracts and patterns
• Contribute to data models and explainability contracts that make complex threat decisions more understandable to customers and internal analysts
• Write high-quality, well-tested Python/Django and React/Typescript code, focusing on correctness, performance, and maintainability
• Participate in owning SLAs/SLOs, observability, and incident response for Threat Narrative and Email Details services by building and improving dashboards, alerts, and runbooks in the areas you own
• Collaborate closely with Product, CS, GTM, Threat Intel, Detection, and DS partners to ensure narrative experiences clearly communicate attack context, value, and outcomes for customers
• Engage in design and code reviews, learn from more senior engineers, and surface opportunities to simplify, derisk, and improve existing systems

Requirements:

• 2+ years of professional, production-level software engineering experience, with a track record of shipping and operating fullstack web applications in cloud-native environments
• Proficiency in Python and Django (or a similar backend framework), and comfort working with Postgres or similar relational databases
• Experience building modern frontend applications with React and Typescript, including data-heavy or workflow-centric UIs
• Ability to design and work with well-structured APIs and data models for data-intensive applications, with attention to correctness and evolvability
• Experience using metrics, logging, and tracing to debug production issues and understand user behavior in at least one prior system
• Strong collaboration and communication skills, including working effectively with Product and partner engineering teams to translate requirements into clear technical tasks
• Experience with AI development tools
• Bachelor's degree in Computer Science, Information Systems, or a related technical field, or equivalent practical experience
• Experience building or integrating LLM/GenAI-powered features (e.g., prompt design, simple agents, or explainability) in production or pre-production systems
• Familiarity with cybersecurity data, threat intelligence, or detection systems, especially in the context of email and collaboration security
• Exposure to big data and batch processing technologies (e.g., Spark, Databricks, Airflow, Kafka) used to power analytics, narratives, or offline enrichment
• Experience collaborating on multi-team initiatives and contributing to shared components, data contracts, or cross-surface UX