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Remote metro role with broad AI and distributed-systems demands and moderate brand increases applicant density.
Heavy emphasis on AI-infrastructure, agentic systems, and network telemetry creates high domain specificity, reducing transferability.
Explicit 7+ years, leadership, and specialized AI/cloud/distributed systems requirements make shortlisting highly strict.
Lead design and implementation of scalable, secure, and high-performance AI infrastructure and distributed microservices for real-time network data processing and agentic AI systems.
Drive the end-to-end software development lifecycle including architecture, design, testing, deployment, and operations for AI and networking platforms.
Mentor engineering teams, define technical vision, and improve system performance and operational readiness for enterprise-grade AI networking solutions.
Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field (or equivalent experience).
7+ years software development lifecycle experience with at least 7 years programming proficiency (Python, Java, Go, or C++ preferred).
3+ years leading design and architecture of large-scale distributed systems on cloud platforms (AWS, Azure, or Google Cloud).
Experience with real-time microservices, distributed data platforms, AI or agentic systems, network telemetry, or large-scale analytics.
Experienced in building and operating scalable, event-driven microservices processing high-volume, real-time network or operational data.
Proven track record leading complex distributed systems development and mentoring engineering teams in a technical leadership role.
Expertise at the intersection of AI, agentic systems, networking, and cloud-native distributed architectures for enterprise applications.