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Remote role with senior backend/AI title and broadly applicable skills increases applicant competition.
Role requires deep distributed systems, networking, and agentic AI expertise, limiting cross-industry transferability.
Explicit years, leadership, and large-scale distributed systems experience make filters strict.
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Lead design and development of scalable, secure, and reliable real-time data and AI platforms processing large volumes of network data.
Drive technical vision and architecture across intelligent networking, distributed systems, cloud platforms, and agentic AI capabilities.
Mentor engineers, lead technical discussions, and ensure operational excellence across software development lifecycle including deployment and production operations.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical discipline, or equivalent practical experience.
Minimum 5 years of full software development lifecycle experience including architecture, design, coding, testing, deployment, and production operations.
At least 5 years programming experience in a general-purpose language (Python, Java, Go, or C++).
Minimum 3 years leading design and architecture of large-scale distributed systems, preferably on cloud platforms (AWS, Azure, Google Cloud).
Experienced technical leader capable of defining and driving innovative architecture and product strategy in AI-powered networking and distributed data systems.
Strong background in building real-time, high-volume, scalable microservices and AI/agentic systems for enterprise network data.
Proven mentor with successful track record in leading engineering teams and delivering production-ready complex software solutions under ambiguous and high complexity conditions.