jazzhr

Senior Amazon Connect Engineer

Cloudelligent

Chennai, IND

Full-time

Senior · 5+ years experience

Onsite

Discovered 3 weeks ago

Amazon ConnectAWS LambdaAPI GatewayStep FunctionsDynamoDBAmazon S3

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Employment Time: Full-Time

Timings: 8:00 am- 5:00 pm CST (US Central Time)

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

Design, implement, and support enterprise-scale Amazon Connect solutions.
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.

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Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
5+ years of experience in cloud architecture and implementation.
3+ years of Amazon Connect experience.
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.
Proficiency in Python for automation, integrations, and serverless development.
Experience integrating Amazon Connect with enterprise applications using REST APIs.
Knowledge of contact center technologies and concepts, including IVR, ACD, call routing, customer experience, and workforce optimization.
Experience implementing conversational AI solutions using Amazon Lex and/or Amazon Bedrock.
Familiarity with Infrastructure as Code (CloudFormation or Terraform).
Excellent communication skills with the ability to collaborate effectively with technical and business stakeholders.

Senior Amazon Connect Engineer

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Employment Time: Full-Time

About Cloudelligent

Job Objective

Responsibilities

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