Role Overview:

We are looking for a hands-on Senior GCP Data Engineer to design, build, and optimize scalable data pipelines, AI models, and Conversational AI architecture on Google Cloud Platform.

You will play a pivotal role in engineering real-time streaming pipelines, deploying Gemini Enterprise / RAG solutions, and managing Contact Center AI (CCAI/CCAIP) integrations.

Key Responsibility Areas (KRAs):

1. Data Engineering & Real-Time Pipelines:

- Streaming & Event Pipelines: Build, monitor, and optimize real-time streaming data ingestion pipelines using Pub/Sub, Dataflow, and Cloud Functions.

- Data Storage & Architecture: Design, manage, and scale data platforms leveraging BigQuery, BigTable, Firestore, and PySpark.

- Compliance & Governance: Implement PII masking, redaction workflows, and encryption to ensure strict data privacy and regulatory compliance.

2. GenAI, Conversational AI & LLM Orchestration:

- Enterprise GenAI & RAG: Integrate Gemini Enterprise Agents utilizing Retrieval-Augmented Generation (RAG) architecture and enterprise knowledge bases.

- Contact Center AI: Deploy and support Google CCAI / CCAIP and Dialogflow CX solutions for enterprise conversational workflows.

3. Infrastructure as Code (IaC) & Security:

- IaC Automation: Provision and manage scalable cloud infrastructure using Terraform.

- Cloud Security: Implement robust access policies, identity management, and security controls using GCP IAM.

4. Architecture & Stakeholder Engagement:

- Design low-latency, scalable cloud-native architectures.

- Collaborate with cross-functional teams, mentor junior engineers, and participate in core design and technical discussion sessions.

Required Skills & Qualifications:

- Overall Experience: 8 to 12 years in Software/Data Engineering with at least 4+ years exclusively on GCP.

- Core GCP Stack: BigQuery, BigTable, Firestore, Pub/Sub, Dataflow, Cloud Functions, and PySpark.

- GenAI & Voice Stack: Gemini Enterprise, RAG, LLM orchestration, CCAI/CCAIP, and Dialogflow CX.

- Programming Languages: Proficiency in Python, Java, or Go.

- Infrastructure & Security: Strong hands-on experience with Terraform and GCP IAM.

Nice to Have:

- Exposure to Apigee, REST APIs, Webhooks, or SIP / SIPREC protocols.

- Domain knowledge in telecom, communications, or contact center platforms