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.

1. Strong experience with Infrastructure as Code (IaC) using Terraform for cloud resource provisioning and management.

1. Proven ability to design and implement applications on public cloud platforms, especially AWS.

1. Extensive hands-on experience with Amazon Connect and related AWS ecosystem services, including IAM, Lex, Lambda, KMS (data security), S3, and Kinesis.

1. Proficient in CI/CD tools such as Jenkins or Jules, and version control systems like Git or Bitbucket.

1. Demonstrated ability to rapidly build proof-of-concepts and scale them into robust, large-scale solutions.

1. Motivated to expand infrastructure engineering expertise, data fluency, and automation capabilities across additional domains.

1. Skilled in debugging, monitoring, maintaining, and providing production support in large environments using tools such as Splunk, Datadog, and CloudWatch.

1. Knowledge of voice technologies (WebRTC), call recording, and telephony platforms is highly desirable.

1. Experience with container orchestration and deployment in AWS Cloud environments.

1. Proficient in building and supporting RESTful APIs for integration and automation.

1. AWS certification is a strong plus.

• Design, implement, and support cloud-based contact center solutions using Amazon Connect and AWS services.

1. Develop and maintain infrastructure as code using Terraform for automated cloud resource provisioning.

1. Build, deploy, and optimize applications and integrations using Python (or Java) within the AWS ecosystem.

1. Engineer and manage Amazon Connect environments, including configuration of IAM, Lex, Lambda, KMS, S3, and Kinesis.

1. Create and maintain CI/CD pipelines using Jenkins/Jules and manage code repositories with Git/Bitbucket.

1. Rapidly prototype proof-of-concept solutions and scale them to production-ready systems.

1. Monitor, debug, and provide production support for large-scale environments using tools such as Splunk, Datadog, and CloudWatch.

1. Implement and support RESTful APIs for contact center integrations and automation.

1. Collaborate with cross-functional teams to deliver secure, scalable, and resilient voice solutions.

1. Drive continuous improvement in infrastructure engineering, automation, and data fluency.

1. Support container orchestration and deployment in AWS Cloud environments.

1. Apply best practices for data security, compliance, and call recording in telephony platforms.

1. Stay current with AWS certifications and emerging cloud technologies.

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