Software Engineer II – Full Stack

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🔥 1 minute ago

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Abnormal Security

501 - 1000 employees

Abnormal provides total protection against the widest range of attacks including phishing, malware, ransomware, social engineering, executive impersonation, supply chain compromise, internal account compromise, spam, and graymail.

📋 Description

• 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.

🏖️ Benefits

• In addition to base salary, this role may be eligible for bonus or incentive compensation • Comprehensive benefits package

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