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Tech Stack
Tools & technologiesAWSAzureCloudDockerGoGoogle Cloud PlatformGRPCJavaKubernetesMicroservicesNoSQLPythonRustSQLTypeScript
About the role
Key responsibilities & impact- Oversee the design and architecture of scalable, reliable, and secure systems that power autonomous detection, RAG-backed investigation, and auto-remediation workflows
- Define the technical strategy and architecture for our core platform, ensuring it scales to petabytes of security data and billions of daily events
- Power autonomous detection, RAG-backed investigation, and auto-remediation workflows
- Develop and Productionize large-scale LLMs, graph-based reasoning engines, and streaming feature pipelines that operate on billions of security events
- Own Evaluation & Reliability of AI systems—from prompt libraries and fine tuning to red-team testing, latency budgets, and fallback strategies
- Oversee cross-cutting concerns like observability, reliability, performance, security, and operational excellence in production environments
- Partner tightly with Product, Detection Engineering, and Customer Success to translate real-world attacker behavior into robust ML and rule-based detections, and define the technical roadmap
- Experiment with retrieval-augmented generation, tool-calling agents, and multi-modal models (text + logs + graphs) to maintain a competitive advantage
- Mentor and influence engineering teams on best practices in cloud architecture, reliability, and security-first development.
Requirements
What you’ll need- 10+ years of progressive experience in software development
- Deep technical expertise in designing and engineering scalable, distributed, and production-grade systems using modern programming languages (e.g., Python, Go, Rust, Java, or TypeScript)
- Expertise in defining system architecture, microservices architecture, containerization (Docker, Kubernetes), and event-driven systems
- Strong fundamentals in API design (REST/gRPC), data modeling, and database technologies (SQL/NoSQL)
- Experience with large-scale data processing, analytics, and high-volume transaction systems
- Extensive experience with cloud architecture (GCP, AWS, or Azure)
- Deep knowledge of LLM architecture, prompt engineering, and Vector database workflows
- Hands-on experience building agents, orchestration frameworks (LangChain/LangGraph, Agno AGI, or custom), and evaluation harnesses
- Hands-on experience with AI, LLM, and RAG architectures in a security-focused environment, including adversarial testing and mitigation of LLM hallucinations
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Benefits
Comp & perks- Healthcare benefits
- Work-from-home flexibility
- Professional development opportunities
ATS Keywords
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Hard Skills & Tools
PythonGoRustJavaTypeScriptmicroservices architecturecontainerizationAPI designdata modelingcloud architecture
Soft Skills
mentoringinfluencingcollaborationcommunicationproblem-solving
Certifications
Bachelor's degree in Computer ScienceMaster's degree in Computer Science