Software Engineer II - Full Stack

Abnormal AI is focused on protecting enterprises from advanced email and collaboration attacks. The Software Engineer II - Full Stack role involves building email-centric narrative experiences and implementing features that enhance customer understanding of threat detection.

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