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Remote option plus metro location and recognizable employer create moderate applicant density.
Requires deep AI infrastructure and distributed systems expertise, limiting transferability across industries.
Explicit 7+ years, leadership, and mandatory distributed-systems and AI-infra skills enforce strict filtering.
Lead the architecture, design, and development of scalable, secure, real-time distributed AI and networking platforms integrating agentic AI and microservices.
Own end-to-end software lifecycle including deployment and operations of next-generation high-performance AI infrastructure and data processing services.
Mentor engineering teams and drive technical strategy to deliver production-ready solutions impacting multiple flagship products and new offerings.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience.
7+ years of full software development lifecycle experience including architecture, design, coding, testing, deployment, and production operations.
7+ years programming experience in at least one language such as Python, Java, Go, or C++.
3+ years leading design/architecture of large-scale distributed systems on cloud platforms (AWS/Azure/GCP).
Experienced technical leader with demonstrated ability to solve complex, ambiguous problems and produce pragmatic, production-ready distributed AI and networking systems.
Strong background in distributed real-time data processing, agentic AI, network telemetry, and cloud-native microservices architectures.
Skilled mentor and strategic driver who fosters engineering excellence, innovation, and operational rigor across teams and projects.