Sr MTS - Software Development (Cloud AI Network Security Developer )

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.

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:

o Policy generation and intent translation (natural language firewall rules)

o Incident summarization and contextual analysis

o 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:

o Policy engines and rule orchestration

o Deep Packet Inspection (DPI) and application-layer filtering

o NGFW/IDS/IPS systems

o 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.