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Remote option, known enterprise brand, and mid-senior backend/AI infra role increases candidate competition.
Distributed-systems and agentic AI focus makes the role moderately specialized, but skills are transferable across tech industries.
Explicit 7+ years, required distributed-systems architecture and programming-language skills make filters strict.
Lead design and development of scalable, secure, real-time distributed systems and microservices for AI-driven networking platforms.
Own end-to-end software lifecycle including architecture, implementation, testing, deployment, and operations for core AI infrastructure and agentic systems.
Drive technical vision and mentorship across teams, fostering innovation and operational excellence in AI, distributed data processing, and network telemetry solutions.
Bachelor’s degree in Computer Science, Engineering, Mathematics or related field, or equivalent experience.
7+ years of software development experience including architecture and operations; 3+ years leading large-scale distributed system design, preferably on cloud (AWS, Azure, GCP).
Proficiency in at least one programming language: Python, Java, Go, or C++.
Experience with real-time microservices, distributed data platforms, AI/agentic systems, network telemetry, or large-scale analytics.
Experienced technical leader capable of defining and driving innovative architecture and strategy in AI and distributed networking domains.
Strong background in building production-grade, scalable AI infrastructure and real-time data processing platforms on cloud.
Demonstrates deep understanding of agentic AI systems, microservices, and network telemetry with ability to mentor and lead engineering teams.