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SPECIFIC DUTIES AND RESPONSIBILITIES |
- Build and optimize real-time streaming pipelines to ensure efficient routing of voice and chat session data into enterprise data platforms
- Integrate generative AI solutions with enterprise knowledge bases to ensure accurate and context-aware conversational agent performance
- Maintain and configure low-latency databases to ensure secure and reliable storage of session states and operational metadata
- Design system architectures and technical blueprints to ensure scalable, resilient, and high-performance solutions
- Delegate and manage engineering tasks to ensure effective team productivity and capability development
- Develop and execute testing processes to identify system issues and ensure quality and stability in deployed solutions
- Collaborate with stakeholders to align requirements, manage expectations, and ensure successful project delivery
- Oversee automated PII redaction workflows across voice and text streams to ensure full compliance with data privacy requirements prior to storage.
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COMPETENCIES |
Core Competencies (Must-have Competencies)
- GCP Data Ecosystem Expertise - Ability to design and manage data solutions using BigQuery, BigTable, and Firestore to support scalable analytics and storage
- Real-time Streaming Pipeline Development - Ability to build and manage high-throughput streaming systems to support continuous data ingestion and processing
- Gemini Enterprise Agent Integration - Ability to implement and optimize generative AI solutions grounded in enterprise data to support conversational accuracy
- CCAIP and Conversational AI Implementation - Ability to deploy and manage voice and chat AI systems to enhance customer interaction experiences
- Infrastructure as Code and Security Governance - Ability to automate infrastructure deployment and manage access controls to ensure secure cloud environments
Complementary Competencies (Good-to-have Competencies)
- Data Redaction and Privacy Engineering - Ability to implement PII masking solutions to support regulatory compliance and data protection
- API and Integration Management - Ability to design and manage APIs and communication protocols to support system interoperability
- Stakeholder Collaboration - Ability to effectively communicate and align with technical and non-technical stakeholders to support project success
- Prioritization and Autonomy - Ability to manage multiple tasks independently while focusing on critical objectives
- Hands-On Software Development - Ability to write high-quality code while contributing to architectural and leadership responsibilities
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QUALIFICATIONS |
Educational Qualification/s
- Bachelor’s degree in Computer Science, Engineering, or a related quantitative field
Professional Qualification/s
- Active, verified Google Professional Data Engineer certification
- Minimum of 3+ years of experience in GCP data ecosystem technologies including BigQuery, BigTable, and Firestore
- Minimum of 3+ years of experience in real-time streaming pipelines using Pub/Sub, Cloud Functions, and Dataflow
- At least 1+ year of experience in LLM orchestration and generative AI integration using enterprise data grounding techniques
- Minimum of 2+ years of experience with conversational AI platforms such as Google CCAIP and Dialogflow CX
- Minimum of 2+ years of experience in infrastructure as code using Terraform and cloud security governance using IAM roles
- Strong experience in designing system architecture, debugging complex pipelines, and ensuring system performance
- Proficiency in programming languages such as Python, Java, or Go
- Strong analytical, problem-solving, and stakeholder communication skills
Work Conditions
- Work Schedule: Monday to Friday, Golden Hours (aligned to 4 AM ET to 1 PM ET)
- Shift: 9-hour workday (including 1-hour break)
- Locations: GCC Philippines, Bell India, and Bell Morocco
- Overtime/On-call: May be required based on project needs
Bachelor's in CS/Engineering, Google Professional Data Engineer cert, 3+ years GCP data and streaming experience (BigQuery, Bigtable, Firestore, Pub/Sub, Dataflow), Terraform/IAM experience, 1+ year LLM orchestration, conversational AI experience, proficiency in Python/Java/Go.
Key Responsibilities
- building pipelines
- integrating AI
- designing architecture
Skills & Tools
BigQuery, Bigtable, Firestore, Pub/Sub, Cloud Functions, Dataflow, Gemini Enterprise Agent, CCAIP, Dialogflow CX, Terraform, IAM, Python, Java, Go
Job Details
- Category: Information Technology
- Seniority: Mid Level
- Commitment: Full Time
- Workplace: Remote — Manila or Philippines or India or Morocco
- Languages: English
About Quantrics
A technology company delivering data engineering and cloud-based conversational AI solutions. — Industry: Information Technology