Amazon Connect Engineer

Posted yesterday

Worldwide

Summary

What You'll Be Working On Architecting and configuring Amazon Connect instances end-to-end: queues, routing profiles, hours of operation, agent hierarchies, DID/toll-free numbers Designing IVR and chatbot experiences using Contact Flows, Amazon Lex, and Amazon Q in Connect for generative-AI self-service Integrating Connect with core AWS services (Lambda, Step Functions, DynamoDB, S3, Kinesis, EventBridge) and third-party CRMs including Salesforce Implementing Contact Lens for real-time transcription, sentiment analysis, screen recording, automated evaluations, and post-contact summaries Building outbound campaigns (predictive dialer, SMS, email) and configuring Voice ID for caller authentication and fraud detection Automating infrastructure with CloudFormation/CDK or Terraform; establishing CI/CD pipelines via CodePipeline or GitHub Actions Must-Have Qualifications 3+ years building or operating cloud contact-center platforms 2+ years of hands-on Amazon Connect experience Proficiency in at least one of: Python, Node.js/TypeScript, or Java Deep knowledge of AWS core services: Lambda, API Gateway, DynamoDB, S3, IAM, CloudWatch Solid understanding of telephony fundamentals: SIP, WebRTC, PSTN, codecs, and contact-center metrics Experience with REST/JSON APIs, OAuth/SAML, and event-driven integrations Strong communication and documentation skills — you can translate business needs into a technical roadmap

  • More than 30 hrs/week
    Hourly
  • 3-6 months
    Duration
  • Expert
    Experience Level
  • $10.00

    -

    $20.00

    Hourly
  • Remote Job
  • Ongoing project
    Project Type

Contract-to-hire opportunity

This lets talent know that this job could become full time.
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Skills and Expertise
Mandatory skills
AWS Lambda
Amazon DynamoDB
Activity on this job
  • Proposals:20 to 50
  • Interviewing:
    0
  • Invites sent:
    0
  • Unanswered invites:
    0
About the client
Member since Sep 16, 2015
  • United States
    Doral5:39 AM
  • $1.1M total spent
    53 hires, 3 active
  • 34,423 hours

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