Cloud Engineering Technical Leader - 15+yrs - Cloud-native SaaS platforms

Cisco
Bengaluru
Workplace: HybridFull timeFunction: DevOps, Cloud & InfrastructureSkills: ["Technical leadership","Mentorship","Stakeholder management","Communication","Continuous learning"]

Lead the architecture and technical vision for the Webex Contact Center AI-driven data and analytics platform. Define an AI-native data strategy, design scalable cloud-native data platforms spanning streaming, lakehouse, real-time processing, and AI-ready pipelines, and guide reusable AI capabilities that power customer journey insights, reporting, and decision intelligence. Partner with Product and engineering leaders to set standards, govern data, and drive AI innovation with custom ML models for enterprise-grade, multi-region reliability.

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FursaFursa
Cisco
Cisco
1 day ago

Cloud Engineering Technical Leader - 15+yrs - Cloud-native SaaS platforms

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Last checked: 3 hours agoStatus: Live

Job Summary

Lead the architecture and technical vision for the Webex Contact Center AI-driven data and analytics platform. Define an AI-native data strategy, design scalable cloud-native data platforms spanning streaming, lakehouse, real-time processing, and AI-ready pipelines, and guide reusable AI capabilities that power customer journey insights, reporting, and decision intelligence. Partner with Product and engineering leaders to set standards, govern data, and drive AI innovation with custom ML models for enterprise-grade, multi-region reliability.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Own the long-term architecture and technical vision for the Webex Contact Center AI-driven data platform.
  • •Define an AI-native architectural layer that turns enterprise contact center data into intelligent services using custom AI/ML models.
  • •Architect large-scale, secure, reliable, low-latency cloud-native data platforms for billions of customer events, including streaming, lakehouse, and AI-ready pipelines.
  • •Lead architecture across data ingestion, event streaming, storage, metadata management, observability, governance, API access, and AI consumption patterns.
  • •Drive technical standards, design reviews, technology selection, and mentor architects and senior engineers on AI-first platform design and distributed data engineering.

Key Requirements

  • •15+ years designing distributed cloud-native SaaS platforms with significant enterprise architect experience.
  • •Deep expertise building modern data platforms using streaming, lakehouse, distributed storage, real-time processing, and analytical systems.
  • •Experience architecting AI-native platforms where ML models are integral to product architecture.
  • •Proven experience building or architecting custom ML models (feature engineering, training pipelines, evaluation, deployment, monitoring, continuous improvement).
  • •Strong understanding of modern AI architectures including LLMs, RAG, vector search, embeddings, semantic retrieval, feature stores, inference optimization, and model orchestration.
Experience:SaaSCloud-nativeAIMachine learningData platformsContact center
Skills:Technical leadershipMentorshipStakeholder managementCommunicationContinuous learning
Tech Stack:JavaPythonKafkaFlinkPulsarLakehouseStreamingReal-time processingVector databasesVector searchEmbeddingsRetrieval-Augmented Generation (RAG)Feature storesMicroservicesEvent-driven architectureDistributed processingKnowledge graphsGraph learningRecommendation systemsSequence modelling

Company Brief

Cisco
Global technology company that designs, manufactures, and sells networking hardware, telecommunications equipment, and high-technology services and products for enterprises, service providers, and governments worldwide.
Industry: Networking Equipment
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1984
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Glassdoor: 4.0
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