Staff Software Engineer

WHO WE ARE: Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai.

About the Role: Cloud AI Network Security Developer – Staff Engineer 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.
• 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.