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Tier-1 brand but niche GenAI infrastructure requirements reduce generalist applicant competition.
Highly domain-specific ML infrastructure, LLM and security needs limit cross-industry transferability.
Explicit 11+ years and deep mandatory Golang, ML, Kubernetes, and security requirements create strict filters.
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Lead architectural vision and build scalable, robust generative AI platforms and products at planetary scale.
Design and develop high-quality distributed systems with focus on developer and user experience, including CLIs, SDKs, and runtimes.
Drive technical alignment and consensus across multiple engineering organizations to deliver enterprise-grade AI capabilities.
11+ years of hands-on software engineering experience required.
Expert-level proficiency in Golang and Python with experience building concurrent, high-throughput systems.
Strong experience with Kubernetes ecosystem, container orchestration, and modern security paradigms (e.g., Gatekeeper, zero-trust).
Bachelor's degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience.
Demonstrated architectural leadership with a track record of designing and scaling distributed systems in fast-paced or startup-like environments.
Experience working on generative AI applications including knowledge of language models, embeddings, RAG architectures, and AI infrastructure such as control planes and vector stores.
Ability to act as a technical anchor and visionary, bridging engineering and research, influencing technical culture and product-focused engineering decisions across a large enterprise.