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Strong Tier-1 brand but senior specialization and required niche cloud/ML skills reduce candidate density.
Core cloud, streaming, and ML platform skills transfer across industries, though contact-center domain experience is preferred.
Explicit 8+ years plus mandatory cloud, streaming, and ML platform skills imply stringent filters.
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Define architecture, standards, and strategic direction for Webex Contact Center data, analytics, and reporting platform.
Design and develop scalable, secure, and reliable AI-ready data platform components supporting real-time and historical reporting, AI, and ML applications.
Optimize and build high-performance data processing pipelines and services for billions of customer interaction events with low latency and high availability.
Bachelor's or Master's degree in Computer Science, Engineering, AI, ML, or related technical field.
8+ years experience building distributed cloud-native SaaS applications.
Strong expertise in Java and/or Python and experience with Kafka, Flink, Spark, Iceberg, or equivalent streaming and analytical systems.
Hands-on experience with cloud platforms (AWS or GCP), Kubernetes, Docker, and cloud-native engineering practices.
Experienced in building AI-powered enterprise SaaS platforms with machine learning as a core product capability.
Strong understanding of AI/ML architectures including feature engineering, embeddings, semantic retrieval, and model-serving frameworks.
Able to lead technical innovation and mentor engineers in scalable, maintainable AI-first data platforms in complex enterprise environments.