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Remote and mid-level role increases applicant pool, but niche AI+distributed systems expertise limits competition.
Requires agentic AI, network telemetry, and distributed-systems expertise, limiting cross-industry transfers.
Explicit 5+ years, required programming languages, and distributed-systems leadership increase screening strictness.
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Lead design and development of scalable, high-performance real-time data and AI platforms for intelligent networking and agentic AI solutions.
Own end-to-end software development lifecycle including architecture, coding, deployment, and operations of distributed systems and network telemetry services.
Mentor engineering teams, drive technical vision, innovation, and uphold operational excellence across network data processing and AI-driven products.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical discipline or equivalent experience.
5+ years software development lifecycle experience including design, coding, testing, deployment and operations.
Proficiency in at least one programming language such as Python, Java, Go, or C++ with 5+ years programming experience.
3+ years leading design and architecture of large-scale distributed systems on cloud platforms (AWS, Azure, Google Cloud).
Experienced leader capable of defining technical vision and driving architecture in AI, distributed data processing, or network telemetry domains.
Strong background building production-ready, highly scalable microservices and real-time streaming systems handling large-scale high-velocity data.
Comfortable with mentoring engineers, solving complex ambiguous problems, and working on AI/agentic automation integrated with networking systems.