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Back End Developer

RAD Security

seniorbackendother United States 138 days ago via LinkedIn

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Tags

GoPythonKubernetesDistributed SystemsEvent-Driven ArchitectureLLM OrchestrationAI AgentsTerraformHelmInfrastructure as Code

About the role

Role overview

You will help build the backend and AI infrastructure systems that power RAD Security’s AI-native security platform. The work spans large-scale security event processing, AI-driven investigation, autonomous agent security workflows, and cloud/Kubernetes services—while staying highly hands-on with production reliability.

Responsibilities

  • Design and build scalable backend systems using Go and Python
  • Build APIs, event pipelines, and distributed services for processing large volumes of security telemetry
  • Develop infrastructure and orchestration systems for AI-driven security workflows and autonomous agents
  • Build and improve AI engineering systems, including:
    • LLM orchestration
    • prompt pipelines
    • agent frameworks
    • security-focused AI automation
  • Operate and improve Kubernetes-based infrastructure across cloud and enterprise environments
  • Support enterprise and air-gapped deployments using Terraform, Helm, and infrastructure-as-code workflows
  • Work directly with customers to troubleshoot deployments and improve reliability
  • Collaborate with product, detection engineering, AI engineering, and frontend teams
  • Improve observability, resiliency, and operational performance
  • Help shape architectural decisions as the company scales

Requirements

  • Strong backend engineering experience with Go, Python, or similar languages
  • Experience building distributed systems and async/event-driven processing pipelines
  • Hands-on Kubernetes experience operating and debugging production environments
  • Experience with cloud infrastructure and infrastructure as code tooling
  • Strong AI engineering and coding skills, including experience with LLMs and AI agents (or orchestration/applied AI systems)
  • Comfort in a fast-moving environment with high ownership
  • Clear communication with engineers, customers, and leadership
  • Strong troubleshooting instincts and willingness to respond to production issues

Nice to have

  • Experience with security telemetry, detections, runtime events, SIEM data, or cloud security systems

About RAD Security

RAD Security builds an AI-native security platform for cloud infrastructure and enterprise environments. It helps organizations secure AI systems, cloud workloads, Kubernetes environments, and developer tooling through AI-driven detection, investigation, response, and governance.

Scraped 5/12/2026