Software Engineer II - Fullstack (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Software Engineer II (Fullstack/AI): Building the next generation of email-centric narrative experiences to communicate threat detections using GenAI and LLM-powered systems with an accent on explainability and user intuition. Focus on implementing end-to-end features from backend APIs in Python/Django to performant React/TypeScript UIs.
Location: Must be eligible to access controlled technology under U.S. export control laws
Company
protects the world’s largest enterprises from advanced email and collaboration attacks using AI-powered detection systems.
What you will do
- Design and implement fullstack features across Threat Narrative and Email Details surfaces for customers and internal analysts.
- Develop APIs and services that generate enriched narratives from attack data and GenAI/LLM agents.
- Contribute to data models and explainability contracts to make complex threat decisions understandable to users.
- Write high-quality, well-tested Python/Django and React/TypeScript code with a focus on performance and maintainability.
- Manage SLAs/SLOs, observability, and incident response by building dashboards and alerts for owned services.
- Collaborate with Product, Threat Intel, and Data Science teams to ensure clear communication of attack context and value.
Requirements
- 2+ years of professional software engineering experience shipping fullstack web applications in cloud-native environments.
- Proficiency in Python, Django (or similar), and relational databases like Postgres.
- Experience building modern, data-heavy frontend applications with React and TypeScript.
- Ability to design well-structured APIs and data models for data-intensive applications.
- Experience using metrics, logging, and tracing to debug production issues.
- Must be eligible to access controlled technology under U.S. export control laws.
Nice to have
- Experience integrating LLM/GenAI-powered features (prompt design, agents) in production systems.
- Familiarity with cybersecurity data, threat intelligence, or email security detection systems.
- Exposure to big data and batch processing technologies such as Spark, Databricks, Airflow, or Kafka.
Culture & Benefits
- Competitive compensation including base salary, annual bonus, and equity.
- Comprehensive benefits package.
- Opportunity to own well-scoped systems and work closely with senior engineering partners.
- High-impact role shaping the customer's perception of detection quality at scale.
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