Amazon Connect Engineer

Role: Amazon Connect Engineer

Location: Plano, TX (Onsite Role)
Duration: 1 year

Interview Process: 2 rounds (Architecture design) and 2^nd round will be technical and behavior

Must Have: Strong Terraform and Python development. Build and design in AWS connect. Doing all the CI/ CD automation. Configure and create IVF flows
Nice to Have: ServiceNow integration. Helping out team to integrate to AWS Connect.
Job Description:

• Significant experience in both Systems Engineering and Software development
• Proficient in at least one of the infrastructure disciplines and functions:
• Internals of distributed Operating System (Unix/Linux, Windows, Z/OS) internals.
• Systems programming
• Network programming
• Experience in large scale software development in one or more of the programming languages (C, C++, Perl, Python, Java, C#,.NET)
• Enterprise scale and resiliency
• Experience in system and software security and entitlements (SSO, windows, Kerberos, LDAP, Windows AD).
• Modern compute technologies (e.g., virtualization, cloud).
• Experience with Agile development process and automated testing.
• Experience working across large infrastructure environments and distributed across multiple data centers.
• Experience in end-to-end systems automation and orchestration.
• Experience in Systems and Application monitoring systems and instrumentation.

Roles and Responsibilities:

• 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

Additional Skills:

• 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.

Regards,

Azam Mohammed

Direct:

Email: Aazam (@) pullskill (dot) com