# Cloud Engineer for Webex Contact Center **Company**: Cisco **Experience**: senior **Job type**: full-time **Category**: Engineering **Industry**: Technology **Apply**: https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/Bangalore-India/Cloud-Engineer---8-yrs---Cloud-native-SaaS-applications--Java--Python--Kafka-Flink-Spark-Ice-berg_2021180?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_a33d9059-570 ## Description Be part of the Cisco Webex Contact Center team, where technology, innovation, and collaboration come together to transform customer experiences. As a Cloud Engineer for Webex Contact Center, you will serve as a Senior Engineer responsible for defining the architecture, standards, and strategic direction of the data, analytics, and reporting platform. **Key Responsibilities** - Design, develop, and operate AI-ready data platform components that power next-generation intelligent experiences across Webex Contact Center. - Partner with the Data Platform Architect to build the foundational intelligence layer that transforms enterprise contact center data into predictive insights, recommendations, and autonomous decision-making. - Develop scalable data pipelines, feature engineering frameworks, and intelligent data services that enable training, deployment, and continuous improvement of custom AI and machine learning models. - Build reusable AI platform capabilities including feature stores, inference pipelines, semantic search, vector retrieval, embeddings, knowledge augmentation, and model-serving infrastructure. - Develop high-performance streaming and batch data processing systems capable of handling billions of customer interaction events with low latency and high reliability. - Build APIs and platform services that expose AI-ready data to Reporting, Analytics, AI Agents, Routing, Workforce Optimisation, and other intelligent platform capabilities. - Optimize AI and data platform performance across ingestion, feature computation, model inference, storage, retrieval, and serving to meet enterprise-scale latency and throughput requirements. - Evaluate emerging AI technologies, machine learning frameworks, vector databases, and modern data infrastructure, rapidly prototyping new ideas that can differentiate Webex Contact Center. - Participate in architecture discussions, design reviews, and technical innovation, contributing to the evolution of Cisco's AI-first data platform. - Mentor engineers and champion engineering excellence through clean architecture, automation, observability, testing, and knowledge sharing. **Minimum Qualifications:** - Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a related technical field. - 8+ years of experience building distributed cloud-native SaaS applications. - Strong software engineering expertise in Java and/or Python with experience developing production-grade backend services. - Hands-on experience building modern data platforms using technologies such as Kafka, Flink, Spark, Iceberg, Pinot, ClickHouse, or equivalent streaming and analytical systems. - Good understanding of modern AI and machine learning architectures, including feature engineering, embeddings, vector search, Retrieval-Augmented Generation (RAG), semantic retrieval, inference pipelines, and model-serving frameworks. - Experience integrating machine learning models into large-scale production systems, with an understanding of model lifecycle, monitoring, evaluation, and continuous improvement. - Strong understanding of distributed systems, event-driven architectures, microservices, and cloud-native application design. - Experience building scalable data processing pipelines supporting both real-time and offline AI workloads. - Experience optimizing large-scale systems for latency, throughput, scalability, reliability, and operational efficiency. - Hands-on experience with AWS or GCP, Kubernetes, Docker, and cloud-native engineering practices. - Strong understanding of data modelling, APIs, distributed storage, caching, and performance tuning. - Excellent analytical, debugging, and problem-solving skills with the ability to work across complex enterprise platforms. **Desired Skills** - Experience building AI-powered enterprise platforms where machine learning is a core product capability rather than a standalone service. - Experience with LLMs, fine-tuning, prompt engineering, agentic workflows, or domain-specific AI applications. - Experience with vector databases, feature stores, knowledge graphs, semantic indexing, and intelligent retrieval systems. - Familiarity with modern AI frameworks such as PyTorch, TensorFlow, LangChain, LlamaIndex, MLflow, Ray, or equivalent technologies. - Experience developing custom AI or machine learning models for recommendation systems, forecasting, anomaly detection, conversational intelligence, or decision optimisation. - Experience optimizing GPU-accelerated inference, model-serving infrastructure, and large-scale AI workloads. - Experience working on enterprise SaaS platforms handling large-scale customer data, preferably in Contact Center, Customer Experience, CRM, or communications platforms. - Strong interest in applying AI to solve complex customer problems and creating differentiated product capabilities beyond commercially available AI models. ## Skills ### Required - Java - Python - Kafka - Flink - Spark - Iceberg - Pinot - ClickHouse - Kubernetes - Docker - AWS - GCP - cloud-native engineering - data modelling - APIs - distributed storage - caching - performance tuning - machine learning - AI - feature engineering - embeddings - vector search - Retrieval-Augmented Generation (RAG) - semantic retrieval - inference pipelines - model-serving frameworks ### Nice to have - LLMs - fine-tuning - prompt engineering - agentic workflows - domain-specific AI applications - vector databases - feature stores - knowledge graphs - semantic indexing - intelligent retrieval systems - PyTorch - TensorFlow - LangChain - LlamaIndex - MLflow - Ray - GPU-accelerated inference - model-serving infrastructure - large-scale AI workloads --- Source: [Apply at cisco.wd5.myworkdayjobs.com](https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/Bangalore-India/Cloud-Engineer---8-yrs---Cloud-native-SaaS-applications--Java--Python--Kafka-Flink-Spark-Ice-berg_2021180?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)