Job description

Company culture :

Cnexia Tech is driven by a culture strongly focused on performance and competitiveness, where ambition, challenge and measurable results are key drivers of success. This dynamic is complemented by a collaborative dimension, promoting trust, teamwork and close managerial support. It also integrates an innovation component that encourages initiative, adaptability and experimentation in a fast-evolving technological environment. Finally, a structured organizational culture underpins the whole by ensuring process rigor, reliability and operational efficiency.

• Pipeline Orchestration, Data Ingestion Build, monitor, and optimize near real-time streaming pipelines routing CCAIP voice and chat sessions into Google BigQuery.
• Gemini Grounding Generative AI Integrate Gemini Enterprise for Customer Experience with enterprise knowledge bases to ensure accurate, context-aware agent interactions.
• Database Management State & Storage Maintain low-latency Firestore and BigTable configurations to securely store active chat session states and metadata.
• Architectural Design System Engineering Design resilient, high-performance system architectures, presenting technical diagrams and project blueprints to management.
• Mentorship & Delegation Team Leadership Distribute engineering tasks efficiently among team members and lead the technical development and training of subordinates.
• Testing & Debugging Quality Assurance Create sandboxed products for system testing, actively searching for pipeline errors and applying post-launch hotfixes.
• Client & PM Alignment Stakeholder Management Accept requirements from management, negotiate scope changes with clients, and demonstrate final project updates.
• Compliance Governance Data Protection Oversee automated PII redaction workflows on voice and text streams to ensure complete privacy alignment before data storage.

• University or college degree in engineering, computer sciences, physics, mathematics or relevant experience in an equivalent domain
• Excellent communication skills in English
• Minimum of 5+ years' in similar role
• Must hold an active Google Professional Data Engineer certification. Deep expertise in BigQuery, BigTable, and Firestore (Standard & Enterprise) is non-negotiable.
• Proven experience architecting and managing high-throughput streaming pipelines using GCP Pub/Sub, Cloud Functions, and Dataflow.
• Practical experience with LLM orchestration, grounding Gemini Enterprise Agents on enterprise data lakes, and Retrieval-Augmented Generation (RAG).
• Hands-on deployment experience with Google Cloud Contact Center AI (CCAI/CCAIP) and Dialogflow CX for live voice/chat streams.
• Robust capability writing Terraform for infrastructure deployment and managing fine-grained GCP IAM roles to secure cloud resources.