We are looking for a Cloud AI Network Security Developer who will help build the next generation of intelligent cloud network security solutions. You will work on developing Python/Go-based microservices that combine network visibility, AI analytics, and LLM-driven insights to strengthen cloud firewall and network defense capabilities. This role is ideal for developers who understand cloud networking and security fundamentals, have a strong interest in AI/LLMs, and want to grow in the space where networking, AI, and data engineering converge. Key Responsibilities · Develop Python/Go-based services for cloud network and security control plane features (e.g., firewall rules, policy orchestration, threat analysis). · Implement APIs and microservices integrating with major cloud providers (AWS, Azure, GCP). · Work with senior engineers to integrate LLM-based assistants into network workflows — such as policy generation, anomaly explanation, or alert summarization. · Build and maintain data ingestion and telemetry pipelines for flow data, and event metrics. · Develop logic for anomaly detection, threat pattern recognition, and security posture scoring. · Contribute to UI/backend integration for visualizing security and AI insights. · Participate in code reviews, testing, and release readiness validation Required Skills · Bachelor’s degree in Computer Science, Engineering, or a related field. · 1–3 years of development experience, preferably inGo. · Understanding of cloud networking fundamentals: routing, NAT, VPNs, gateways, and subnets .· Familiarity with firewall concepts such as ACLs, policies, stateful inspection, DPI, and next-gen firewall architectures. · Basic knowledge of AI/LLM integration using APIs (OpenAI, Vertex AI, Anthropic, etc.). · Exposure to data engineering workflows — data ingestion, transformation, and stream processing (Kafka, Pub/Sub, or Kinesis). · Familiarity with cloud platforms (AWS, Azure, GCP). · Basic understanding of security fundamentals: authentication, encryption, zero trust Nice to Have · Experience with network telemetry (NetFlow, IPFIX, VPC Flow Logs). · Understanding of firewall management systems or policy automation frameworks. · Knowledge of LLM prompt engineering or RAG-based retrieval systems. · Hands-on with Kubernetes and container networking. · Familiarity with Terraform or other IaC tools.· Cloud or security certifications (AWS Developer, Security+, etc.

About Quickhyre AI

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