About the Role
Join the Cortex team and own the backend strategy for our integrated detection and response engine. You will be responsible for transforming raw endpoint, network, and cloud data into actionable intelligence, using AI-driven techniques to dramatically reduce false positives and focus our defense on what truly matters: stopping the world's most critical threats.
We are constantly innovating—challenging the way we, and the industry, think about big-data, AI & cybersecurity. Our engineers don't shy away from building products to solve problems no one has pursued before. We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.
Responsibilities
•You will operate with the agility and autonomy of a high-growth startup, backed by the massive scale and resources of a global leader.
•You will architect and scale a world-class data infrastructure capable of processing billions of events per second in real-time.
•By integrating state-of-the-art AI technologies, you will transform raw telemetry from the industry's leading cyber products into high-fidelity, actionable intelligence.
•You will own the end-to-end software development life cycle, from conceptualizing complex distributed systems to deploying high-performance code.
•Your mission is to build AI-augmented systems that are not only fast and maintainable but are resilient enough to outpace the world's most sophisticated cyber threats.
Requirements
•5+ years of software engineering experience – Must
•Experienced with a variety of database technologies (MySQL / Cassandra / Google BigQuery / Amazon Redshift / ElasticSearch / Neo4J) - Advantage
•Experience in designing, building and maintaining a scalable server-side application
•Knowledge of the cyber field
•BSc in Computer Science or equivalent knowledge or equivalent military experience required
•Proven experience in AI Workloads
•Hands-on experience building and scaling AI/ML workloads, including familiarity with LLM orchestration, Model Serving - an advantage
•Experience in Go / Python – an advantage
•Experience with GCP – an advantage
•Experience with Kubernetes/Docker – an advantage
Note on Work Arrangement
We believe collaboration thrives in person. That's why most of our teams work from the office full time, with flexibility when it's needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.
Visa Sponsorship
Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.
