Cloudelligent
Website:
cloudelligent.com
Job details:
Position Title: Senior Amazon Connect Engineer
Employment Time: Full-Time
Timings: 8:00 am- 5:00 pm CST (US Central Time)
Location: Remote, India
About Cloudelligent
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to startups and SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed.
Job Objective
As a Senior Amazon Connect Engineer at Cloudelligent, you will design, implement, and optimize cloud-based contact center solutions using Amazon Connect and the broader AWS ecosystem. You will work closely with customers, solution architects, and cross-functional teams to deliver scalable, secure, and AI-powered customer engagement solutions.
This role requires strong expertise in Amazon Connect, AWS serverless technologies, system integrations, and contact center best practices. You will also contribute to solution design, technical workshops, and go-to-market (GTM) initiatives while helping customers modernize their contact center environments.
Responsibilities
Configure and customize Amazon Connect components, including Contact Flows, Queues, Routing Profiles, Quick Connects, Hours of Operation, and Agent Workspaces.
Develop serverless applications using AWS Lambda, API Gateway, Step Functions, DynamoDB, Amazon S3, and EventBridge to extend Amazon Connect functionality.
Integrate Amazon Connect with CRM, ERP, ServiceNow, Salesforce, Zendesk, and other enterprise platforms using REST APIs and AWS services.
Configure Contact Lens, call recording, transcription, analytics, and reporting capabilities.
Troubleshoot and optimize Amazon Connect deployments for performance, reliability, scalability, and security.
Participate in architecture discussions, solution design, technical workshops, and customer demonstrations.
Requirements
3+ years designing and implementing NLP/NLU (IVR or chat) solutions using at least one major conversational AI framework (e.g., Rasa, Dialogflow, Lex, or any Bot Service) at enterprise scale in a contact center environment.
3+ years designing and implementing NLP/NLU (IVR or chat) solutions using at least one major conversational AI framework (e.g., Rasa, Dialogflow, Lex, or any Bot Service) at enterprise scale in a contact center environment
3+ years hands-on coding experience with REST APIs and web services, including successful integration of 3+ contact center platforms (e.g., Genesys, Amazon Connect, Five9)
Strong experience configuring Amazon Connect, including Contact Flows, Routing Profiles, Queues, Quick Connects, and Agent Workspace.
Experience with AWS services including AWS Lambda, API Gateway, Amazon S3, DynamoDB, Step Functions, IAM, and CloudWatch.
Knowledge of contact center technologies and concepts, including IVR, ACD, call routing, customer experience, and workforce optimization.
Highly Desirable
Experience supporting solution architecture, proof-of-concepts, customer workshops, and pre-sales activities.
Relevant certifications (e.g., AWS Certified Generative AI Developer- Professional, AWS Certified Machine Learning – Associate, AWS Certified AI Practitioner).
Click on Apply to know more.
