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# DevOps Engineer

- **Company:** Info Way Solutions LLC
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Bash Shell, Cloud Computing, Cloud Computing Security, Cloud Engineering, Computer Programming, Continuous Integration, DevOps, Github, Identity and Access Management, Python (Programming Language), Key Management, Release Management, Site Reliability Engineering Practices, Software Deployment, Data Logging, Scripting, Google Cloud, Enterprise Software Applications, Cloud Platform System, Cloud Monitoring, Grafana, Infrastructure as Code (IaC), Build Server, Gitlab, Git, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Bitbucket, Api Design, Terraform, Docker, Microservices
- **Published:** November 13, 2026
- **Apply:** https://www.adzuna.com/details/5964061980

## About the Role

* 5+ years of experience in DevOps / Cloud Engineering.
 * Strong hands-on experience with Google Cloud Platform (GCP).
 * Experience with GECX (Google Customer Experience) and/or Google CCAI (Contact Center AI).
 * Strong experience with CI/CD pipelines.
 * Hands-on experience with Terraform / Infrastructure as Code.
 * Experience with Docker and Kubernetes/GKE.
 * Strong scripting/programming skills in Python, Bash, or similar.
 * Experience with Git, GitHub/GitLab/Bitbucket.
 * Experience with GCP IAM, networking, monitoring, logging, and security.
 * Experience supporting production cloud environments.
 * Strong troubleshooting and problem-solving skills.

Preferred Skills

 * Google Cloud certification such as Professional Cloud DevOps Engineer.
 * Experience with Dialogflow CX, CCAI Platform, Contact Center AI, or related Google conversational AI technologies.
 * Experience integrating contact center platforms with enterprise applications and APIs.
 * Experience with Google Cloud Build, Artifact Registry, Cloud Run, GKE, Pub/Sub, Secret Manager, and Cloud Functions/Cloud Run.
 * Knowledge of microservices and API-based architectures.
 * Experience with observability and SRE practices.

Key Technologies

GCP | GECX | CCAI | Dialogflow CX | Kubernetes | GKE | Docker | Terraform | CI/CD | Cloud Build | Git | Python | Bash | Cloud Monitoring | Cloud Logging | IAM | APIs | Microservices

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field preferred.

## Description

We are seeking an experienced Cloud DevOps Engineer with strong Google Cloud Platform (GCP) and Google Customer Experience (GECX) / Contact Center AI (CCAI) experience. The candidate will be responsible for building, automating, deploying, and supporting scalable and secure cloud infrastructure and CI/CD pipelines for customer experience and contact center solutions.

The ideal candidate will have hands-on experience with GCP services, DevOps automation, Kubernetes, Terraform, CI/CD, monitoring, and deployment of GECX/CCAI-based applications.

Key Responsibilities

 * Design, implement, and maintain DevOps solutions on Google Cloud Platform (GCP).
 * Build and manage CI/CD pipelines for GECX/CCAI applications and supporting services.
 * Deploy, configure, and maintain Google Customer Experience (GECX) and Contact Center AI (CCAI) environments.
 * Automate infrastructure provisioning and configuration using Terraform and Infrastructure as Code (IaC).
 * Manage containerized applications using Docker and Kubernetes/GKE.
 * Implement deployment automation, release management, rollback strategies, and environment management.
 * Work with development and architecture teams to integrate GECX/CCAI solutions with enterprise applications and APIs.
 * Configure and manage GCP services including IAM, networking, compute, storage, logging, and monitoring.
 * Implement security, access controls, secrets management, and compliance best practices.
 * Monitor application and infrastructure performance using Google Cloud Monitoring, Cloud Logging, and related observability tools.
 * Troubleshoot deployment, infrastructure, networking, and application issues across GCP environments.
 * Develop automation scripts using Python, Bash, or similar scripting languages.
 * Support production deployments and participate in incident resolution and root-cause analysis.
 * Optimize cloud infrastructure for scalability, reliability, availability, and cost efficiency.
 * Collaborate with GECX/CCAI architects, developers, application teams, and other stakeholders.