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Tier-1 employer and generalist cloud engineer title increase applicant competition.
Requires deep cloud, streaming, and ML production experience, limiting portability across unrelated industries.
Mandatory 8+ years plus specific cloud, streaming, and ML platform skills create high filtering.
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Design and operate AI-ready data platform components for Webex Contact Center enabling intelligent real-time and historical analytics.
Build scalable data pipelines, feature stores, inference pipelines, and AI model-serving infrastructure to support enterprise-scale customer interaction data.
Lead technical architecture decisions ensuring data accuracy, security, scalability, and high performance across reporting, analytics, and AI capabilities.
Bachelor's or Master's degree in Computer Science, Engineering, AI, Machine Learning, or related technical field.
8+ years experience building distributed cloud-native SaaS applications with strong Java and/or Python backend development skills.
Hands-on experience with Kafka, Flink, Spark, Iceberg or equivalent modern data streaming and analytical platforms.
Experience with AWS or GCP, Kubernetes, Docker, cloud-native engineering, and strong understanding of distributed systems and microservices.
Senior technical leader comfortable shaping architecture and strategic direction of large-scale AI and analytics data platforms.
Expertise in integrating machine learning models into production systems with focus on feature engineering, model-serving and AI productization.
Experience with enterprise SaaS environments focused on customer data, Contact Center, CRM, or communications platforms, driving AI-first transformation.