Senior Amazon Connect Engineer
Cloudelligent2 months ago
Pune, IndiaSenior
Responsibilities
- Design, implement, and support enterprise-scale Amazon Connect solutions.
- Configure Amazon Connect 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.
- Integrate Amazon Connect with CRM, ERP, ServiceNow, Salesforce, Zendesk, and other enterprise platforms.
- Implement conversational AI solutions using Amazon Lex and Amazon Bedrock.
- Configure Contact Lens, call recording, transcription, analytics, and reporting capabilities.
- Troubleshoot and optimize deployments for performance, reliability, scalability, and security.
- Gather customer requirements and translate business needs into technical solutions.
- Participate in architecture discussions, solution design, technical workshops, and customer demonstrations.
- Support go-to-market initiatives through solution development, technical proposals, and proof-of-concepts.
- Stay current with Amazon Connect, AWS, and contact center technologies.
Requirements
- Bachelor's or master's degree in Computer Science, AI, Machine Learning, or a related field.
- At least 5 years of cloud architecture and implementation experience.
- At least 3 years of Amazon Connect experience.
- At least 3 years designing and implementing enterprise-scale NLP/NLU IVR or chat solutions with a major conversational AI framework.
- At least 3 years of hands-on coding experience with web services and successful integration of at least three contact center platforms.
- Strong experience configuring Amazon Connect contact center components.
- Experience with 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.
- Knowledge of IVR, ACD, call routing, customer experience, and workforce optimization concepts.
- Experience implementing conversational AI with Amazon Lex and/or Amazon Bedrock.
- Familiarity with Infrastructure as Code using CloudFormation or Terraform.
- Excellent communication and collaboration skills.
- Knowledge of CI/CD pipelines and DevOps practices is highly desirable.
- Experience with solution architecture, proof-of-concepts, customer workshops, and pre-sales activities is highly desirable.
- Relevant AWS certifications, including AWS Certified Generative AI Developer—Professional, AWS Certified Machine Learning—Associate, or AWS Certified AI Practitioner, are highly desirable.
Benefits
- Full-time role with working hours from 8:00 a.m. to 5:00 p.m. US Central Time.
- Remote position based in India.
About Cloudelligent
Cloudelligent provides AWS-focused consulting and managed cloud services, covering migration, modernization, DevOps, data, and generative AI solutions for businesses. The privately held company, founded in 2017 and headquartered in Dallas, is an AWS Premier Tier Services Partner with multiple AWS competencies and a Well-Architected practice. It serves startups, SMBs, ISVs, and nonprofits through recurring managed services and project-based engagements, including cost optimization (FinOps) and security.