
Senior Network Automation Specialist
2 days ago
We're accelerating network engineering capabilities through AI-driven automation and seamless, intelligent workflows. Our team is ushering in a new era of continuous, AI-powered network testing and introducing smart, context-aware solutions to empower engineers across the enterprise.
This is an ideal opportunity for experienced Network Automation Engineers or Software Developers passionate about building innovative tools that drive real transformation in network engineering and delivery.
Key Responsibilities- Design and build AI-driven solutions for accelerated network testing, enabling rapid validation of complex network changes.
- Create intelligent automation tools and interactive applications that simplify network workflows and empower engineering teams.
- Develop and integrate context-aware automation powered by MCP (Model Context Protocol) and AI agent frameworks to advance intelligent network engineering.
- Develop robust integration frameworks and self-service experiences, allowing for seamless adoption of innovative network capabilities.
- Apply data science, machine learning, and analytics to proactively identify network risks, support automated decision-making, and enhance user experience.
- Implement automated test pipelines and validation tools using CI/CD workflows to support shift-left and continuous network assurance.
- Collaborate closely with network engineers, software developers, and platform teams to embed AI/ML capabilities throughout the network lifecycle and drive adoption of next-generation test strategies.
- Extensive hands-on experience as a Network Automation Engineer and/or Software Developer within the network engineering space.
- Demonstrated expertise in network testing, validation, and automation, including experience with AI-driven or intelligent testing frameworks.
- Strong proficiency in Python and frameworks like FastAPI or Django REST for developing APIs, automation tools, and integrations.
- Background applying data-driven, AI, or machine learning approaches to network engineering, automation, or related domains.
- Solid understanding of CI/CD, DevOps workflows, and automated testing in complex network environments.
- Experience building APIs, microservices, or distributed automation architectures.
- Excellent communication, collaboration, and documentation skills.
- Shape the future of network engineering through AI-powered automation and smarter tooling.
- Be part of a high-impact, innovative initiative with enterprise-wide visibility and influence.
- Hybrid working model with strong flexibility and autonomy.
- Competitive salary, bonus, and employee benefits.
- Access to industry-leading tools and continuous professional development.
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