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Tier-1 brand, popular SRE title, and Bangalore location make candidate competition high.
Specialized AI/GPU platform, Kubernetes control-plane, and vector database expertise limit cross-industry transferability.
Explicit 8+ years plus required Kubernetes, control-plane, GPU and database expertise creates strict shortlisting.
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Define architecture and technical roadmap for a scalable enterprise AI runtime platform.
Design and build Kubernetes-based systems and control-plane services for deploying, scaling, and managing AI applications, inference services, and databases.
Lead technical initiatives, mentor engineers, and establish standards for platform evolution focusing on performance, availability, and developer experience.
Bachelor's, Master's, or PhD in Computer Science, Engineering, or related field, or equivalent experience.
8+ years of software engineering experience in distributed systems, cloud infrastructure, database platforms, or large-scale backend services.
Strong programming skills in Python, Go, C++, or Java with production-grade delivery experience.
Proven experience designing scalable Kubernetes-based platforms and building control planes, APIs, or workload lifecycle management systems.
Experienced in developing high-performance services tailored for AI inference or other low-latency workloads.
Knowledgeable in relational or vector databases, including replication, availability, and performance optimization.
Familiar with GitOps, CI/CD, observability, and cloud-native security best practices, with ability to lead cross-functional technical initiatives.