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Remote option, senior technical title, and recognizable employer yield moderate candidate competition.
Role demands deep distributed systems, cloud, and AI-infrastructure expertise, limiting cross-industry transferability.
Explicit 7+ years, distributed-systems, cloud, and leadership requirements make filters strict.
Lead design and development of scalable, secure, and resilient AI infrastructure platforms focusing on distributed systems, real-time data processing, and agentic AI.
Own end-to-end software lifecycle including architecture, implementation, testing, deployment, and operations of next-gen microservices and AI solutions.
Mentor engineering teams and define technical direction to advance intelligent networking and AI-driven automation products.
Bachelor’s degree in Computer Science or related technical field, or equivalent practical experience.
7+ years software development experience including architecture, design, coding, testing, deployment, and production operations.
3+ years leading design/architecture of large-scale distributed systems on cloud platforms (AWS, Azure, or GCP).
Proficiency in at least one general-purpose programming language (Python, Java, Go, or C++).
Experienced technical leader in building real-time, high-volume data processing systems integrating AI and agentic automation.
Comfortable architecting cloud-native microservices and distributed platforms with operational excellence focus.
Experience mentoring engineers and driving innovation in networking, AI infrastructure, and scalable system design.