Amazon Connect Engineer

Location: Plano, TX

Salary: $70.00 USD Hourly - $80.00 USD Hourly

Description:

Title: Amazon Connect Engineer

Plano TX

12 months Contract to hire

Must Haves: Amazon Connect, Contact Center, Terraform

Nice to Haves: ServiceNow

Additional Notes: will set up and configure Amazon Connect - more hands on engineering while the other is architecture

• Expert-level proficiency in at least one modern programming language, such as Python or Java.
• Strong experience with Infrastructure as Code (IaC) using Terraform for cloud resource provisioning and management.
• Proven ability to design and implement applications on public cloud platforms, especially AWS.
• Extensive hands-on experience with Amazon Connect and related AWS ecosystem services, including IAM, Lex, Lambda, KMS (data security), S3, and Kinesis.
• Proficient in CI/CD tools such as Jenkins or Jules, and version control systems like Git or Bitbucket.
• Demonstrated ability to rapidly build proof-of-concepts and scale them into robust, large-scale solutions.
• Motivated to expand infrastructure engineering expertise, data fluency, and automation capabilities across additional domains.
• Skilled in debugging, monitoring, maintaining, and providing production support in large environments using tools such as Splunk, Datadog, and CloudWatch.
• Knowledge of voice technologies (WebRTC), call recording, and telephony platforms is highly desirable.
• Experience with container orchestration and deployment in AWS Cloud environments.
• Proficient in building and supporting RESTful APIs for integration and automation.
• AWS certification is a strong plus.
• Design, implement, and support cloud-based contact center solutions using Amazon Connect and AWS services.
• Develop and maintain infrastructure as code using Terraform for automated cloud resource provisioning.
• Build, deploy, and optimize applications and integrations using Python (or Java) within the AWS ecosystem.
• Engineer and manage Amazon Connect environments, including configuration of IAM, Lex, Lambda, KMS, S3, and Kinesis.
• Create and maintain CI/CD pipelines using Jenkins/Jules and manage code repositories with Git/Bitbucket.
• Rapidly prototype proof-of-concept solutions and scale them to production-ready systems.
• Monitor, debug, and provide production support for large-scale environments using tools such as Splunk, Datadog, and CloudWatch.
• Implement and support RESTful APIs for contact center integrations and automation.
• Collaborate with cross-functional teams to deliver secure, scalable, and resilient voice solutions.
• Drive continuous improvement in infrastructure engineering, automation, and data fluency.
• Support container orchestration and deployment in AWS Cloud environments.
• Apply best practices for data security, compliance, and call recording in telephony platforms.
• Stay current with AWS certifications and emerging cloud technologies.
  
  

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