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Senior niche AI-infra role but remote and Bangalore location raise applicant density.
Requires deep distributed-systems and AI-infra expertise, somewhat transferable across tech industries.
Strict senior experience, domain expertise, and architecture leadership requirements.
Lead the design, development, and deployment of highly scalable, secure, and reliable AI infrastructure and distributed systems for real-time network data processing and intelligent agentic AI solutions.
Drive the technical vision and architecture across products and platforms involving intelligent networking, distributed microservices, agentic AI, and real-time data pipelines.
Mentor engineering teams and uphold engineering excellence including operational readiness, system performance, and innovation culture.
10+ years of experience in full software development lifecycle and programming (Python, Java, Go, or C++).
3+ years leading design and architecture of large-scale distributed systems, preferably cloud-based (AWS, Azure, or Google Cloud).
Bachelor’s degree in Computer Science, Engineering, Mathematics, or related discipline, or equivalent experience.
Experience in real-time microservices, stream processing, distributed data platforms, cloud infrastructure, AI/agentic systems, or network telemetry.
Experienced technical leader capable of defining and executing strategic technical visions in AI-driven networking and distributed systems at scale.
Proficient in building and deploying production-ready, scalable, secure microservices and event-driven systems handling high volume, low latency data.
Capable mentor and hands-on participant who translates complex, ambiguous problems into pragmatic software solutions, fostering engineering rigor and innovation.