Note: The job is a remote job and is open to candidates in USA. Abnormal AI is on a mission to protect the world’s largest enterprises from advanced email and collaboration attacks. The Software Engineer II - Full Stack will build next-generation email-centric narrative experiences and work closely with GenAI and LLM-powered systems to enhance customer understanding of threats.
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
Skills
- 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
Benefits
- Bonus or incentive compensation
- Equity
- A comprehensive benefits package
Company Overview
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