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As a Principal Software Engineer, you will be a technical trailblazer responsible for the architecture and evolution of our automation ecosystems. This role requires a visionary who can bridge the gap between emerging LLM research and production-grade reliability. You will define the technical foundations that enable autonomous security workflows, ensuring our platform is forward-compatible with the rapidly evolving Agentic AI landscape.
Job Responsibility:
Define and own the technical vision for the Cortex Platform's automation foundations and Agentic AI integrations
Architect highly resilient and non-deterministic systems, designing abstract frameworks that optimize security workflows for autonomous planning and execution
Define the right technical approach for emerging challenges where no proven solution yet exists, specifically addressing LLM limitations like latency, hallucinations, and determinism
Define global technical standards for the platform's automation ecosystem, merging advanced CI/CD governance with robust telemetry and metrics to track execution health across thousands of production tenants
Align diverse engineering stakeholders around a single, cohesive technical direction for platform-wide automation and integration features
Drive step-function improvements in system reliability and quality, establishing a technical roadmap that anticipates the next generation of 'Agentic Response'
Requirements:
8+ years of experience as a software engineer
Deep understanding of prompting and context management
Hands-on experience building and running LLM-based systems in production
Experience defining system architectural vision end-to-end
Capability to define scalable data-driven standards
Strong Python skills, with working knowledge of Go
Experience with end-to-end codebase ownership, including CI/CD, testing, and releases
Familiarity with security and automation workflows, APIs, integrations, and building automated responses