Network Automation Engineer
Remote
Fulltime,W2 (Any visa)
We are seeking an experienced Senior Full Stack Developer with a strong foundation in network engineering, artificial intelligence, and machine learning to design and build intelligent, automated solutions across enterprise systems. This role will blend deep software development expertise with advanced networking and AI/ML capabilities to modernize network operations, develop chatbots for intelligent automation, and deliver data-driven insights that enhance performance and scalability. The ideal candidate will possess a blend of programming, DevOps, and networking expertise to modernize infrastructure management, enhance operational efficiency, and support digital transformation initiatives. The ideal candidate will have a deep understanding of Cisco network configurations and a passion for network automation.
Key Responsibilities:
Design and Develop Scalable Applications:
- Build robust, secure, and high-performing full-stack web and automation platforms using modern frameworks (React, Angular, Node.js, Python, etc.).
Integrate AI and ML Models:
- Develop, train, and deploy ML models to optimize network performance, detect anomalies, and predict infrastructure issues before they impact operations.
Chatbot and Conversational AI Development:
- Design and implement intelligent chatbots and virtual assistants (using OpenAI, Azure AI, Dialogflow, or similar) to automate network support, incident resolution, and knowledge retrieval.
Network Automation and Orchestration:
- Apply network engineering expertise to integrate APIs, automate configuration management, and streamline provisioning using tools like Ansible, Terraform, and Cisco NSO.
Data Engineering & Analytics:
- Collect and process network telemetry and operational data to feed AI/ML pipelines, visualizing insights through dashboards (Grafana, Kibana, or custom UI).
Full Stack Implementation:
- Develop RESTful APIs, microservices, and serverless backends; design responsive front-end interfaces for network visibility and AI-driven insights.
DevOps and CI/CD Enablement:
- Implement CI/CD pipelines, automate testing, and containerize applications using Docker and Kubernetes for scalable deployment.
Collaboration and Leadership:
- Partner with cross-functional teams-Network, Cloud, AI, and Security-to deliver integrated solutions and mentor junior developers on AI and automation best practices.
Innovation and R&D:
- Explore emerging AI and networking technologies (AIOps, intent-based networking, generative AI) to recommend and prototype next-generation solutions.
Required Qualifications:
- 7+ years of experience as a Full Stack Developer or Software Engineer with exposure to large-scale, distributed systems.
- Extensive experience in configuring and managing Cisco network infrastructure (routers, switches, firewalls, etc.).
- Strong scripting skills with Python, JavaScript, Ansible, or other relevant languages and tools for automating network tasks.
- Proven ability to develop, deploy, and manage network automation solutions in large-scale environments.
- Solid understanding of networking protocols such as, BGP, MPLS, EIGRP, and SDWAN.
- Experience with network monitoring and management tools (e.g., Cisco NDFC and DNA Center, SolarWinds, NetBrain, etc.).
- Familiarity with version control systems (e.g., Git) and Continuous Integration/Continuous Deployment (CI/CD) pipelines.
- Ability to develop and implement strategic initiatives around network automation to drive operational efficiencies.
- Strong analytical and problem-solving skills, with the ability to troubleshoot complex network issues.
- Excellent communication skills and the ability to work effectively with cross-functional teams.
Preferred Qualifications:
- Strong knowledge of network fundamentals (TCP/IP, routing, switching, firewalls, SD-WAN, APIs).
- Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) and integrating them into production applications.
- Experience developing chatbots or conversational AI systems using tools like Dialogflow, Rasa, Azure AI, or OpenAI APIs.
- Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform) and DevOps tools (Git, Jenkins, Docker, Kubernetes).
- Proficiency in database technologies (PostgreSQL, MongoDB, MySQL) and API-driven architectures.
- Strong problem-solving and analytical skills with a passion for innovation in AI and networking automation.
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