Job ID: MI-107165 (913090728)10A
Remote/Local Cloud Engineer (GCP) with chatbot/voicebot, Diagflow ES, Java/Kotlyn, Python, C#, Golang/Dart, C/C++, Objrctive-C, SSML, data visualization, DevOps, TDD, SQL, Oracle and SQL server experience
Location: Lansing, MI DTMB
Duration: 12 months
This is a repost of #105837; Do NOT resubmit candidates previously submitted to this posting.
Required Skills :
Bachelor’s Degree or foreign equivalent.
2-3 years of programming experience with a good understanding of data
structures and API development.
2-3 years of experience developing chatbot and/or voicebot on Dialogflow ES or
similar platform.
Proficient in one or more object-oriented programming languages (Java, Kotlyn,
Python, C#, Golang, Dart, C/C++, Objective-C).
Good understanding of Google Cloud Platform(GCP).
Knowledge of best practices and experience configuring Intents, Entities, Events,
Context, Response Text/ SSML response and fallbacks.
Collaborate with the design and business team to create optimum training
phrases.
Understanding of the Dialogflow environments, version control and deployment
processes.
Interest in innovative Call Center technologies.
Clear communication, documentation, and note-taking skills.
Desired Skills :
Background in Contact Center technology and operations.
Knowledge of analytics and data visualization.
2-3 years’ experience with Rest API integrations
Experience with DevOps tools and processes.
Experience with test driven development methodology and automated testing
tools.
Proficient in SQL and Stored Procedures such as RDS, Oracle, SQL Server or
similar.
Responsibilities :
Develop, test, and maintain Google Dialogflow Virtual Agents.
Gather and document requirements, provide feedback on any technical
limitations and make suggestions to support best practices.
Work with NICE inContact IVR development team on technical design to define
the events, intents, and parameters.
Participate in release management process including promoting changes to
production.
Work with business team on continuous improvements such as updating
verbiage, fallout analysis, and feature recommendations.
Build Dialogflow fulfillment webhooks.
Troubleshoot and solve issues in production environment.
MI State of Michigan Hybrid Work Environment Attestation (1).docx