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.
Your Impact
Architectural Leadership: Define and own the technical vision for the Cortex Platforms automation foundations and Agentic AI integrations.
System Design for Autonomy: Architect highly resilient and non-deterministic systems, designing abstract frameworks that optimize security workflows for autonomous planning and execution.
Advanced Problem Solving: Define the right technical approach for emerging challenges where no proven solution yet exists, specifically addressing LLM limitations like latency, hallucinations, and determinism.
Scalable Engineering Standards: Define global technical standards for the platforms automation ecosystem, merging advanced CI/CD governance with robust telemetry and metrics to track execution health across thousands of production tenants.
Technical Alignment: Align diverse engineering stakeholders around a single, cohesive technical direction for platform-wide automation and integration features.
Strategic Reliability: Drive step-function improvements in system reliability and quality, establishing a technical roadmap that anticipates the next generation of Agentic Response.
Your Impact
Architectural Leadership: Define and own the technical vision for the Cortex Platforms automation foundations and Agentic AI integrations.
System Design for Autonomy: Architect highly resilient and non-deterministic systems, designing abstract frameworks that optimize security workflows for autonomous planning and execution.
Advanced Problem Solving: Define the right technical approach for emerging challenges where no proven solution yet exists, specifically addressing LLM limitations like latency, hallucinations, and determinism.
Scalable Engineering Standards: Define global technical standards for the platforms automation ecosystem, merging advanced CI/CD governance with robust telemetry and metrics to track execution health across thousands of production tenants.
Technical Alignment: Align diverse engineering stakeholders around a single, cohesive technical direction for platform-wide automation and integration features.
Strategic Reliability: 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 automationworkflows, APIs, integrations, and building automated responses.
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 automationworkflows, APIs, integrations, and building automated responses.
This position is open to all candidates.
