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Remote option and metro location increase applicant competition despite specialized AI and distributed-systems requirements.
Distributed systems and networking AI focus makes the role moderately industry-specific but transferable to cloud/AI firms.
Explicit 7+ years and 3+ years distributed-systems leadership requirements enforce strict shortlisting.
Lead design and development of scalable, secure, and production-ready distributed systems and AI infrastructure for real-time network data processing and intelligent agentic systems.
Drive end-to-end software lifecycle including architecture, coding, testing, deployment, and operations across cloud platforms.
Mentor engineering teams and define technical vision for innovative AI-powered networking and automation platforms.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical discipline, or equivalent practical experience.
7+ years of programming and software development lifecycle experience including architecture and deployment.
3+ years experience designing large-scale distributed systems on cloud platforms (AWS, Azure, or Google Cloud).
Experience with real-time microservices, stream processing, AI/agentic systems, network telemetry, or large-scale analytics.
Proven technical leader who can translate complex problems into pragmatic, production-ready AI and distributed system solutions.
Experienced in building event-driven microservices and processing large-scale real-time operational or network data.
Background in generative AI or agentic systems and networking/domain knowledge to enhance intelligent automation platforms.