Sr MTS

4 days ago

Bengaluru India Aviatrix Full time

Job Description About the Role: Cloud AI Network Security Developer - Sr MTS Overview 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. - 6+ 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). - Familiarity with security frameworks (Zero Trust, NIST CSF, CIS Benchmarks). Nice to Have - 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.

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