Join the Cortex team as a Principal Backend Engineer 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 worlds most critical threats.
Key Responsibilities
backed by the massive scale and resources of a global leader, to architect and scale a world-class data infrastructure capable of processing billions of events per second in real-time.
Integrate state-of-the-art AI technologies to transform raw telemetry from the industry's leading cyber products into high-fidelity, actionable intelligence.
Own the end-to-end software development life cycle, from conceptualizing complex distributed systems to deploying high-performance code, building AI-augmented systems that are fast, maintainable, and resilient.
Key Responsibilities
backed by the massive scale and resources of a global leader, to architect and scale a world-class data infrastructure capable of processing billions of events per second in real-time.
Integrate state-of-the-art AI technologies to transform raw telemetry from the industry's leading cyber products into high-fidelity, actionable intelligence.
Own the end-to-end software development life cycle, from conceptualizing complex distributed systems to deploying high-performance code, building AI-augmented systems that are fast, maintainable, and resilient.
Requirements:
8+ years of software engineering experience.
Experience in distributed cloud products.
Knowledge of the cyber field.
BSc in Computer Science or equivalent knowledge or equivalent military experience.
Preferred Qualifications
Experience with a variety of database technologies (e.g., MySQL, Cassandra, Google BigQuery, Amazon Redshift, Elasticsearch, Neo4J).
Experience in designing, building, and maintaining a scalable server-side application.
Proven experience in AI Workloads, including hands-on experience building and scaling AI/ML workloads, and familiarity with LLM orchestration and Model Serving.
Experience in Python.
Experience with Google Cloud Platform (GCP).
Experience with Kubernetes or Docker.
8+ years of software engineering experience.
Experience in distributed cloud products.
Knowledge of the cyber field.
BSc in Computer Science or equivalent knowledge or equivalent military experience.
Preferred Qualifications
Experience with a variety of database technologies (e.g., MySQL, Cassandra, Google BigQuery, Amazon Redshift, Elasticsearch, Neo4J).
Experience in designing, building, and maintaining a scalable server-side application.
Proven experience in AI Workloads, including hands-on experience building and scaling AI/ML workloads, and familiarity with LLM orchestration and Model Serving.
Experience in Python.
Experience with Google Cloud Platform (GCP).
Experience with Kubernetes or Docker.
This position is open to all candidates.
