Amazon Connect Engineer
3b staffingMurphy (TX)
Amazon Connect Engineer
Posted 2 days ago
3b staffingMurphy (TX)
SENIORITY
Senior
About the role
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: Service Now integration. Helping out team to integrate to AWS Connect.
Interview Process: 2 rounds (Architecture design) and 2nd round will be technical and behaviour
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.
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