Staff Software Engineer

Aviatrix; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading cloud security firm is looking for a Cloud AI Network Security Developer – Staff Engineer to architect and deliver advanced AI-driven network security capabilities. The ideal candidate should have over 8 years of software development experience, with strong proficiency in Python and Go. You will work on designing microservices for security control and lead the development of intelligent firewalls. The role offers competitive compensation and growth opportunities in a dynamic team setting.

Qualifications

• 8+ years of software development experience with proficiency in Python/Go.
• Deep understanding of cloud networking and firewall technologies.
• Strong experience in AI/ML integration and Kubernetes.

Responsibilities

• Architect and implement cloud microservices for network security.
• Lead development of next-gen firewall services and AI-assisted event triage.
• Design LLM integrations for policy generation and incident analysis.

Skills

Python

Go

Cloud Networking

AI/ML Integration

Kubernetes

Data Engineering

Education

Bachelor’s or Master’s in Computer Science or Cybersecurity

Tools

Kafka

Flink

Prometheus

ELK

Grafana

Job description

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.

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
• 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).
• Strong knowledge of CSPs (AWS, Azure, GCP, OCI).
• Familiarity with security frameworks (Zero Trust, NIST CSF, CIS Benchmarks).

Nice to Have

• Experience in building security solutions for AI applications
• 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.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Information Technology

Industries

• Software Development
• Technology
• Information and Media
• Computer and Network Security