Triune Infomatics Inc
Technical Recruiter at Triune Infomatics Inc
Role: AWS Solutions Developer (Custom Q Business Integration)
Location: Oakland, CA (Hybrid – 3 days onsite)
Duration: 6 months with possible extension
Overview:
Seeking a skilled AWS Solutions Developer to design and implement a custom integration between Amazon Q Business and AWS PCA (Post-Call Analytics sample AWS solution). The role involves creating a customized pipeline to seamlessly deliver PCA insights into Q Business using AWS-native tools and Python, supporting contact center analytics for the Treasurer-Tax Collector’s Office by enabling self-service access to post-call intelligence via a conversational interface.
Responsibilities:
Architect & Develop Custom Integrations
Design serverless or containerized data pipelines to extract insights from AWS PCA and make them accessible to Q Business.
Ensure the pipeline handles relevant metadata and analytics securely and in a Q-compatible format.
Process call transcripts, metadata, and metrics using Python AWS SDKs (boto3).
Normalize and structure PCA outputs for ingestion into a searchable store compatible with Q Business.
Interface with Q Business
Develop ingestion and indexing mechanisms aligned with Q Business standards.
Enable advanced querying and filtering with secure access controls via IAM or Amazon Cognito.
Automation & Scalability
Automate periodic ingestion and re-indexing of PCA data.
Optimize for performance, scalability, and cost-effectiveness.
Documentation & Handoff
Provide comprehensive documentation and conduct knowledge transfer sessions.
Required Skills:
Strong expertise in AWS Core Services: S3, Lambda, Q Plugins, API Gateway, Step Functions, Athena, OpenSearch, DynamoDB, Glue, IAM
Experience with AWS AI/ML Services: AWS PCA, Amazon Q Business, NLP tools
Advanced Python skills with boto3 and Pandas; REST API and event-driven architecture knowledge
Designing and indexing custom knowledge bases for RAG systems
Understanding of security and compliance standards, role-based access control
Experience with CI/CD tools like CloudFormation, Terraform, or CDK (preferred)
Preferred Qualifications:
Experience with Amazon Q data source customization or conversational AI development
Government or public sector IT experience
Knowledge of AWS Bedrock, LangChain, or GenAI frameworks
Soft Skills:
Ability to work independently and collaboratively
Strong communication skills for stakeholder interaction
Clear documentation practices
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Information Technology
Industries
IT Services and IT Consulting
#J-18808-Ljbffr
Location: Oakland, CA (Hybrid – 3 days onsite)
Duration: 6 months with possible extension
Overview:
Seeking a skilled AWS Solutions Developer to design and implement a custom integration between Amazon Q Business and AWS PCA (Post-Call Analytics sample AWS solution). The role involves creating a customized pipeline to seamlessly deliver PCA insights into Q Business using AWS-native tools and Python, supporting contact center analytics for the Treasurer-Tax Collector’s Office by enabling self-service access to post-call intelligence via a conversational interface.
Responsibilities:
Architect & Develop Custom Integrations
Design serverless or containerized data pipelines to extract insights from AWS PCA and make them accessible to Q Business.
Ensure the pipeline handles relevant metadata and analytics securely and in a Q-compatible format.
Process call transcripts, metadata, and metrics using Python AWS SDKs (boto3).
Normalize and structure PCA outputs for ingestion into a searchable store compatible with Q Business.
Interface with Q Business
Develop ingestion and indexing mechanisms aligned with Q Business standards.
Enable advanced querying and filtering with secure access controls via IAM or Amazon Cognito.
Automation & Scalability
Automate periodic ingestion and re-indexing of PCA data.
Optimize for performance, scalability, and cost-effectiveness.
Documentation & Handoff
Provide comprehensive documentation and conduct knowledge transfer sessions.
Required Skills:
Strong expertise in AWS Core Services: S3, Lambda, Q Plugins, API Gateway, Step Functions, Athena, OpenSearch, DynamoDB, Glue, IAM
Experience with AWS AI/ML Services: AWS PCA, Amazon Q Business, NLP tools
Advanced Python skills with boto3 and Pandas; REST API and event-driven architecture knowledge
Designing and indexing custom knowledge bases for RAG systems
Understanding of security and compliance standards, role-based access control
Experience with CI/CD tools like CloudFormation, Terraform, or CDK (preferred)
Preferred Qualifications:
Experience with Amazon Q data source customization or conversational AI development
Government or public sector IT experience
Knowledge of AWS Bedrock, LangChain, or GenAI frameworks
Soft Skills:
Ability to work independently and collaboratively
Strong communication skills for stakeholder interaction
Clear documentation practices
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Information Technology
Industries
IT Services and IT Consulting
#J-18808-Ljbffr