WHO WE ARE:

Aviatrix® is the cloud network security company trusted by more than 500 of the world’s leading enterprises. As cloud infrastructures become more complex and costly, the Aviatrix Cloud Network Security platform gives companies back the power, control, security, and simplicity they need to modernize their cloud strategies. Aviatrix is the only secure networking solution built specifically for the cloud, that ensures companies are ready for AI and what’s next. Combined with the Aviatrix Certified Engineer (ACE) Program, the industry’s leading secure multicloud networking certification, Aviatrix unifies cloud, networking, and security teams and unlocks greater potential across any cloud.​

For enterprises struggling to secure cloud workloads, Aviatrix® offers a single solution for pervasive cloud security. Where current cybersecurity approaches focus on securing entry points to a trusted space, Aviatrix Cloud Native Security Fabric (CNSF) delivers runtime security and enforcement within the cloud application infrastructure itself – closing gaps between existing solutions and helping organizations regain visibility and control. Aviatrix ensures security, cloud, and networking teams are empowering developer velocity, AI, serverless, and what’s next. For more information, visit www.aviatrix.com.

About the Role: MTS - Software Developer (Cloud AI Network Security Developer)

Overview

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 in Go.

· 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.