We are seeking a Cloud AI Network Security Developer to architect and deliver advanced AI-driven network security capabilities across multi-cloud environments. You’ll lead the design of Python/Go-based distributed systems that power intelligent firewalls, real-time telemetry analytics, and LLM-integrated threat automation. This role combines deep knowledge of cloud networking, firewall technologies, data engineering, and AI model integration to create secure, adaptive, and self-learning security systems. Key Responsibilities Architect, design, and implement Python/Go-based cloud microservices for network and security control plane. Lead development of next-generation firewall services — policy enforcement, rule optimization, and AI-assisted event triage. Design and operationalize LLM integrations for: Policy generation and intent translation (natural language → firewall rules) Incident summarization and contextual analysis AI-assisted troubleshooting and documentation Build streaming data pipelines to process large-scale flow logs, IDS/IPS alerts, and cloud telemetry in real time (Kafka, Flink, Pub/Sub, Kinesis). Develop AI/ML inference services for anomaly detection, threat scoring, and risk classification. Ensure secure service communication, policy compliance, and zero-trust alignment. Mentor junior engineers and guide design/code reviews. Collaborate with data scientists, AI engineers, and cloud networking teams to deliver production-grade features. Required Skills Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or related field. 8+ years of software development experience, with strong proficiency in Python/Go (Golang). Deep understanding of cloud networking (VPC/VNet design, routing, gateways, load balancers, overlays). Hands-on experience with firewall and security technologies: Policy engines and rule orchestration Deep Packet Inspection (DPI) and application-layer filtering NGFW/IDS/IPS systems Cloud-native firewalls (AWS Network Firewall, Azure Firewall, GCP Cloud Armor) Strong knowledge of data engineering pipelines — real-time stream processing, event correlation, and log enrichment. Proven experience with AI/ML integration — serving ML models via REST/gRPC, integrating LLMs for workflow automation, or building AI copilots for security. Solid experience in Kubernetes, microservices architecture, and observability systems (Prometheus, ELK, Grafana) Stronge knowledge of CSPs ( AWS, Azure, GCP, OCI) Familiarity with security frameworks (Zero Trust, NIST CSF, CIS Benchmarks). Nice to Have Experience in building security solution for AI applications Experience in LLM application design (RAG, LangChain, vector databases). Expertise with network telemetry analytics and visualization systems. Contributions to open-source network security or AI frameworks. Knowledge of distributed systems scaling, resilient cloud design, and multi-cloud policy federation. Certifications such as AWS Security Specialty, GCP Cloud Security Engineer, CISSP, or CKA.

About Quickhyre AI

QuickHyre AI is an online job portal and HRMS software platform for hiring and workforce management, trusted by over 10 million active users. It connects freshers and experienced professionals across all career levels with verified job opportunities, while enabling companies to hire, onboard, and manage employees through a single system. Candidates use QuickHyre AI to search and apply for jobs across entry-level, mid-level, and senior roles, including internships and contract positions across tech and non-tech domains. Employers use QuickHyre AI as a hiring platform, applicant tracking system (ATS), and HRMS to post jobs, screen candidates, manage applications, onboard hires, and maintain employee records. Built for startups, growing companies, and enterprises, QuickHyre AI reduces irrelevant applications, improves hiring efficiency, and simplifies HR operations. By combining job discovery, online recruitment, and HR management software, QuickHyre AI supports end-to-end talent acquisition and workforce administration at scale.